Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Natural Language Processing and Chinese Computing
The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.
Natural Language Processing and Chinese Computing
The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Natural Language Processing and Chinese Computing
The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Natural Language Processing and Chinese Computing
The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Artificial Intelligence Techniques and Optimization
The document you uploaded appears to be a textbook on Artificial Intelligence techniques and optimization processes, written by Dr. G. Kumaresan. The book covers various topics in AI, including state-space search, adversarial search, propositional and predicate logic, and optimization algorithms. It also delves into different learning methods such as supervised, unsupervised, and reinforcement learning, as well as neural networks and ensemble learning techniques. If you are asking for a specific description related to a particular section of the document, please clarify which topic or area you want a detailed description of, and I can assist you accordingly. If you are referring to the overall description of the book, I can summarize the contents as follows: Focus: The book is aimed at exploring artificial intelligence techniques and their optimization processes. It provides insights into how AI systems solve complex problems, enhance decision-making, and optimize performance in various applications.Target Audience: This is intended for beginners and those looking to understand the fundamental principles of AI. It also seems suitable for advanced readers looking for practical implementations of AI algorithms. Content Breakdown: The book explains search algorithms, learning methods (including neural networks and reinforcement learning), and AI's role in solving real-world problems like optimization. Let me know how you'd like to proceed or if you have a specific section in mind!
Centaur Art
Generative AI is transforming the landscape of numerous industries, and the creative fields are no exception. As the figurative arts become a focal point in the ongoing debate, this book explores hybrid and centauric intelligence-an integration of human and artificial intelligence. Through parallel and complementary directions, it investigates the general concept of this hybrid intelligence and its specific application in the artistic realm, highlighting the unprecedented creativity and innovation that can emerge from this synergy. Additionally, it addresses the economic tensions and legal disputes, particularly around copyright, that arise from the impact of new technologies in the creative sector. The result is a comprehensive overview of the hybridization paradigm by analyzing the operational and creative methods of artists and creators who have embraced generative AI. The author examines the implications of the recent developments, offering readers an understanding of how AI can support human creativity rather than replace it. Thus, a compelling vision of the future unfolds, one in which artists and AI collaborate, pushing the boundaries of what is artistically achievable. Whether you are a seasoned professional looking to incorporate AI into your creative process or a curious reader intrigued by the convergence of art and technology, the book will provide valuable insights and inspire you to explore the fascinating intersection of human creativity and artificial intelligence and the future it heralds for the art world.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 upto 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as Computer vision, Machine learning, Deep neural networks, Reinforcement learning, Object recognition, Image classification, Image processing, Object detection, Semantic segmentation, Human pose estimation, 3D reconstruction, Stereo vision, Computational photography, Neural networks, Image coding, Image reconstruction and Motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Microsoft Cybersecurity Architect Exam Ref SC-100 - Second Edition
Unlock your potential to pass the SC-100 exam by mastering advanced cloud security strategies, designing zero-trust architectures, and evaluating cybersecurity frameworks with this latest exam guidePurchase of this book unlocks access to web-based exam prep resources such as mock exams, flashcards, exam tips, the eBook PDFKey Features: - Gain a deep understanding of all topics covered in the latest SC-100 exam- Advance your knowledge of architecting and evaluating cybersecurity services to tackle day-to-day challenges- Get certified with ease through mock tests with exam-level difficulty- Benefit from practical examples that will help you put your new knowledge to workBook Description: This Second Edition of Microsoft Cybersecurity Architect Exam Ref SC-100 is a comprehensive guide that will help cybersecurity professionals design and evaluate the cybersecurity architecture of Microsoft cloud services. Packed with practice questions, mock exams, interactive flashcards, and invaluable exam tips, this comprehensive resource gives you everything you need to conquer the SC-100 exam with confidence.This book will take you through designing a strategy for a cybersecurity architecture and evaluating the governance, risk, and compliance (GRC) of the architecture of both cloud-only and hybrid infrastructures. You'll discover how to implement zero trust principles, enhance security operations, and elevate your organization's security posture.By the end of this book, you'll be fully equipped to plan, design, and assess cybersecurity frameworks for Microsoft cloud environments-and pass the SC-100 exam with flying colors. Ready to take your cybersecurity expertise to the next level? This guide is your key to success.What You Will Learn: - Design a zero-trust strategy and architecture- Evaluate GRC technical and security operation strategies- Apply encryption standards for data protection- Utilize Microsoft Defender tools to assess and enhance security posture- Translate business goals into actionable security requirements- Assess and mitigate security risks using industry benchmarks and threat intelligence- Optimize security operations using SIEM and SOAR technologies- Securely manage secrets, keys, and certificates in cloud environmentsWho this book is for: This book targets is for IT professionals pursuing the Microsoft Cybersecurity Architect Expert SC-100 certification. Familiarity with the principles of administering core features and services within Microsoft Azure, Microsoft 365 and on-premises related technologies (server, active directory, networks) are needed. Prior knowledge of integration of these technologies with each other will also be beneficial.Table of Contents- Cybersecurity in the Cloud- Build an Overall Security Strategy and Architecture- Design a Security Operations Strategy- Design an Identity Security Strategy- Design a Regulatory Compliance Strategy- Evaluate Security Posture and Recommend Technical Strategies to Manage Risk- Design a Strategy for Securing Server and Client Endpoints- Design a Strategy for Securing SaaS, PaaS, and IaaS- Specify Security Requirements for Applications- Design a Strategy for Securing Data
CISA - Certified Information Systems Auditor Study Guide - Third Edition
Gain practical information systems auditing expertise to pass the latest CISA exam on your first attempt and advance your careerPurchase of the book unlocks access to web-based exam prep resources, including over 1000 practice test questions, flashcards, exam tips, and a free eBook PDFKey Features: - Learn from a qualified CISA and bestselling instructor, Hemang Doshi- Aligned with the latest CISA exam objectives from the 28th edition of the Official Review Manual- Assess your exam readiness with over 1000 targeted practice test questionsBook Description: Following on from the success of its bestselling predecessor, this third edition of the CISA - Certified Information Systems Auditor Study Guide serves as your go-to resource for acing the CISA exam. Written by renowned CISA expert Hemang Doshi, this guide equips you with practical skills and in-depth knowledge to excel in information systems auditing, setting the foundation for a thriving career.Fully updated to align with the 28th edition of the CISA Official Review Manual, this guide covers the latest exam objectives and provides a deep dive into essential IT auditing areas, including IT governance, systems development, and asset protection. The book follows a structured, three-step approach to solidify your understanding. First, it breaks down the fundamentals with clear, concise explanations. Then, it highlights critical exam-focused points to ensure you concentrate on key areas. Finally, it challenges you with self-assessment questions that reflect the exam format, helping you assess your knowledge.Additionally, you'll gain access to online resources, including mock exams, interactive flashcards, and invaluable exam tips, ensuring you're fully prepared for the exam with unlimited practice opportunities.By the end of this guide, you'll be ready to pass the CISA exam with confidence and advance your career in auditing.What You Will Learn: - Conduct audits that adhere to globally accepted standards and frameworks- Identify and propose IT processes and control enhancements- Use data analytics tools to optimize audit effectiveness- Evaluate the efficiency of IT governance and management- Examine and implement various IT frameworks and standard- Manage effective audit reporting and communication- Assess evidence collection methods and forensic techniquesWho this book is for: This CISA study guide is for anyone with a non-technical background aspiring to achieve the CISA certification. It caters to those currently working in or seeking employment in IT audit and security management roles.Table of Contents- Audit Planning- Audit Execution- IT Governance- IT Management- Information Systems Acquisition and Development- Information Systems Implementation- Information System Operations- Business Resilience- Information Asset Security and Control- Network Security and Control- Public Key Cryptography and Other Emerging Technologies- Security Event Management
Exam Ref Dp-100 Designing and Implementing a Data Science Solution on Azure
Prepare for Microsoft Exam DP-100 and demonstrate your real-world knowledge of managing data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python, Azure Machine Learning, and MLflow. Designed for professionals with data science experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Scientist Associate level. Focus on the expertise measured by these objectives: Design and prepare a machine learning solution Explore data and train models Prepare a model for deployment Deploy and retrain a model This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience in designing and creating a suitable working environment for data science workloads, training machine learning models, and managing, deploying, and monitoring scalable machine learning solutions About the Exam Exam DP-100 focuses on knowledge needed to design and prepare a machine learning solution, manage an Azure Machine Learning workspace, explore data and train models, create models by using the Azure Machine Learning designer, prepare a model for deployment, manage models in Azure Machine Learning, deploy and retrain a model, and apply machine learning operations (MLOps) practices. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Scientist Associate credential, demonstrating your expertise in applying data science and machine learning to implement and run machine learning workloads on Azure, including knowledge and experience using Azure Machine Learning and MLflow.
Machine Learning Evaluation
As machine learning applications gain widespread adoption and integration in a variety of applications, including safety and mission-critical systems, the need for robust evaluation methods grows more urgent. This book compiles scattered information on the topic from research papers and blogs to provide a centralized resource that is accessible to students, practitioners, and researchers across the sciences. The book examines meaningful metrics for diverse types of learning paradigms and applications, unbiased estimation methods, rigorous statistical analysis, fair training sets, and meaningful explainability, all of which are essential to building robust and reliable machine learning products. In addition to standard classification, the book discusses unsupervised learning, regression, image segmentation, and anomaly detection. The book also covers topics such as industry-strength evaluation, fairness, and responsible AI. Implementations using Python and scikit-learn are available on the book's website.
How to Establish a System Engineering and Technical Assistance (SETA) Line of Business (LOB) Within a Small Company
Large companies already have an established System Engineering and Technical Assistance (SETA) Line of Business. This book is a quick look at bringing a SETA Line of Business into your small business enterprise so as to better align your company and your employees with the recognition that a Prime (large) contractor or the U.S. Federal Government will require of you. With the added templates in Appendix A, you now have a guide as to what you should see in each deliverable, whether assessing another company's deliverable for your client or for writing your own.
Starting Data Analytics with Generative AI and Python
Accelerate your mastery of data analytics with the power of ChatGPT. Whether you're a data novice or an experienced pro looking to do more work, faster, Starting Data Analytics with Generative AI and Python is here to help simplify and speed up your data analysis! Written by a pair of world-class data scientists and an experienced risk manager, the book concentrates on the practical analytics tasks you'll do every day. Inside Starting Data Analytics with Generative AI and Python you'll learn how to: - Write great prompts for ChatGPT - Perform end-to-end descriptive analytics - Set up an AI-friendly data analytics environment - Evaluate the quality of your data - Develop a strategic analysis plan - Generate code to analyze non-text data - Explore text data directly with ChatGPT - Prepare reliable reports In Starting Data Analytics with Generative AI and Python you'll learn how to improve your coding efficiency, generate new analytical approaches, and fine-tune data pipelines--all assisted by AI tools like ChatGPT. For each step in the data process, you'll discover how ChatGPT can implement data techniques from simple plain-English prompts. Plus, you'll develop a vital intuition about the risks and errors that still come with these tools. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology If you have basic knowledge of data analysis, this book will show you how to use ChatGPT to accelerate your essential data analytics work. This speed-up can be amazing: the authors report needing one third or even one quarter the time they needed before. About the book You'll find reliable and practical advice that works on the job. Improve problem exploration, generate new analytical approaches, and fine-tune your data pipelines--all while developing an intuition about the risks and errors that still come with AI tools. In the end, you'll be able to do significantly more work, do it faster, and get better results, without breaking a sweat. Assuming only that you know the foundations, this friendly book guides you through the entire analysis process--from gathering and preparing raw data, data cleaning, generating code-based solutions, selecting statistical tools, and finally creating effective data presentations. With clearly-explained prompts to extract, interpret, and present data, it will raise your skills to a whole different level. What's inside - Write great prompts for ChatGPT - Perform end-to-end descriptive analytics - Set up an AI-friendly data analytics environment - Evaluate the quality of your data - Develop a strategic analysis plan - Generate code to analyze non-text data - Explore text data directly with ChatGPT - Prepare reliable reports About the author Authors Artur Guja, Dr. Marlena Siwiak, and Dr. Marian Siwiak are experienced data scientists with backgrounds in business, scientific research, and finance. The technical editor on this book was Mike Jensen. Table of Contents 1 Introduction to the use of generative AI in data analytics 2 Using generative AI to ensure sufficient data quality 3 Descriptive analysis and statistical inference supported by generative AI 4 Using generative AI for result interpretations 5 Basic text mining using generative AI 6 Advanced text mining with generative AI 7 Scaling and performance optimization 8 Risk, mitigation, and tradeoffs Appendix A Specifying multiple DataFrames to ChatGPT v4 Appendix B On debugging ChatGPT's code Appendix C On laziness and human errors
The Art of Thinking in a Digital World
Luc de Brabandere has had three careers in his fifty years of professional life. He started out as a computer engineer, before becoming a consultant in creativity, and today he is a corporate philosopher. This journey has led him to investigate successively the three modes of thinking that are permanently articulated within us: logical thinking, creative thinking and critical thinking. As a talented popularizer, he puts forward an ambitious yet accessible summary of the main principles that govern these three modes of thinking. The book is richly illustrated and places thinking in an historical perspective that allows us to better understand how informational technology in general, and ChatGPT and other artificial intelligences in particular, are influencing our mental models. In the first part of this book, thinking is presented as a game whose rules need to be understood in order to be able to play the game better. A machine can't be creative or responsible. So the more machines there are, the more thinking we'll need to do!
World Conference of AI-Powered Innovation and Inventive Design
This book constitutes the proceedings of the 24th IFIP WG 5.4 International TRIZ Future Conference on AI-Powered Innovation and Inventive Design, TFC 2024, held in Cluj-Napoca, Romania, during November 6-8, 2024. The 42 full papers presented were carefully reviewed and selected from 72 submissions. They were organized in the following topical sections: Part I - AI-Driven TRIZ and Innovation Part II - Sustainable and Industrial Design with TRIZ; Digital Transformation, Industry 4.0, and Predictive Analytics; Interdisciplinary and Cognitive Approaches in TRIZ; Customer Experience and Service Innovation with TRIZ.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Log-Linear Models, Extensions, and Applications
Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications. Log-linear models play a key role in modern big data and machine learning applications. From simple binary classification models through partition functions, conditional random fields, and neural nets, log-linear structure is closely related to performance in certain applications and influences fitting techniques used to train models. This volume covers recent advances in training models with log-linear structures, covering the underlying geometry, optimization techniques, and multiple applications. The first chapter shows readers the inner workings of machine learning, providing insights into the geometry of log-linear and neural net models. The other chapters range from introductory material to optimization techniques to involved use cases. The book, which grew out of a NIPS workshop, is suitable for graduate students doing research in machine learning, in particular deep learning, variable selection, and applications to speech recognition. The contributors come from academia and industry, allowing readers to view the field from both perspectives. ContributorsAleksandr Aravkin, Avishy Carmi, Guillermo A. Cecchi, Anna Choromanska, Li Deng, Xinwei Deng, Jean Honorio, Tony Jebara, Huijing Jiang, Dimitri Kanevsky, Brian Kingsbury, Fabrice Lambert, Aur矇lie C. Lozano, Daniel Moskovich, Yuriy S. Polyakov, Bhuvana Ramabhadran, Irina Rish, Dimitris Samaras, Tara N. Sainath, Hagen Soltau, Serge F. Timashev, Ewout van den Berg
A Context Aware Decision-Making Algorithm for Human-Centric Analytics
This reference demonstrates the development of a context aware decision-making health informatics system with the objective to automate the analysis of human centric wellness and assist medical decision-making in healthcare. The book introduces readers to the basics of a clinical decision support system. This is followed by chapters that explain how to analyze healthcare data for anomaly detection and clinical correlations. The next two sections cover machine learning techniques for object detection and a case study for hemorrhage detection. These sections aim to expand the understanding of simple and advanced neural networks in health informatics. The authors also explore how machine learning model choices based on context can assist medical professionals in different scenarios. Key Features -Reader-friendly format with clear headings, introductions and summaries in each chapter. -Detailed references for readers who want to conduct further research. -Expert contributors providing authoritative knowledge on machine learning techniques and human-centric wellness. -Practical applications of data science in healthcare designed to solve problems and enhance patient wellbeing. -Deep learning use cases for different medical conditions including hemorrhages, gallbladder stones and diabetic retinopathy. -Demonstrations of fast and efficient CNN models with varying parameters such as Single shot detector, R-CNN, Mask R-CNN, modified contrast enhancement and improved LSTM models. This reference is intended as a primary resource for professionals, researchers, software developers and technicians working in healthcare informatics systems and medical diagnostics. It also serves as a supplementary resource for learners in bioinformatics, biomedical engineering and medical informatics programs and anyone who requires technical knowledge about algorithms in medical decision support systems.
Compiler Design Using Kotlin(TM)
This book is designed primarily for use as a textbook in a one-semester course on compiler design for undergraduate students and beginning graduate students. The only prerequisites for this book are familiarity with basic algorithms and data structures (lists, maps, recursion, etc.), a rudimentary knowledge of computer architecture and assembly language, and some experience with the Kotlin programming language or a closely related language such as Java.A complete study of compilers could easily fill several graduate-level courses, and therefore some simplifications and compromises are necessary for a one-semester course that is accessible to undergraduate students. Following are some of the decisions made in order to accommodate the goals of this book.1. The book has a narrow focus as a project-oriented course on compilers. Compiler theory is kept to a minimum, but the project orientation retains the "fun" part of studying compilers. 2. The source language being compiled is relatively simple, but it is powerful enough to be interesting and challenging. It has basic data types, arrays, procedures, functions, and parameters, but it relegates many other interesting language features to the project exercises.3. The target language is assembly language for a virtual machine with a stack-based architecture, similar to but much simpler than the Java Virtual Machine (JVM). This approach greatly simplifies code generation. Both an assembler and an emulator for the virtual machine are provided on the course web site.4. No special compiler-related tools are required or used within the book. Students require access only to a Kotlin compiler and a text editor, but most students will want to use Kotlin with an Integrated Development Environment (IDE).5. One very important component of a compiler is the parser, which verifies that a source program conforms to the language syntax and produces an intermediate representation of the program that is suitable for additional analysis and code generation. There are several different approaches to parsing, but in keeping with the focus on a one-semester course, this book emphasizes only one approach, recursive descent parsing with several lookahead tokens.
Governing AI in Australia
Artificial Intelligence (AI) is transforming Australia's technology, business, and public service, offering immense potential benefits to both society and the economy. However, the swift advance and widespread adoption of AI also bring significant challenges and risks that must be carefully managed. This eBook is a handy guide to the current state of AI governance in Australia and what you need to be mindful of as you make decisions to invest in AI in your organisation.Key findings and recommendations: Australia has established a strong foundation for AI governance through the AI Ethics Principles, the Voluntary AI Safety Standard, and the Policy for the Responsible Use of AI in Government. These provide a solid starting point for ethical and responsible AI practices.A multi-stakeholder approach is crucial for effective AI governance. This paper outlines specific roles for government, industry, academia, and civil society, emphasising the need for collaboration and coordination among these sectors.Implementing AI governance requires concrete steps, including robust risk assessment protocols, ongoing auditing and monitoring mechanisms, workforce training and capacity building, and public engagement initiatives.Case studies from healthcare, financial services, and public services demonstrate that effective AI governance is achievable and can lead to significant benefits when implemented thoughtfully.As AI technology evolves rapidly, governance frameworks must be adaptive and future-focused. Strategies for future-proofing AI governance include developing adaptive regulatory frameworks, maintaining continuous stakeholder engagement, and fostering international collaboration.Balancing innovation with precaution is a key challenge. This paper recommends tiered governance approaches, outcome-based regulation, and incentives for responsible innovation.While the challenges of AI governance are significant, Australia is well-positioned to become a global leader in responsible AI development and use. By continuing to refine and implement effective governance strategies, Australia can harness the transformative potential of AI while safeguarding its ethical principles and societal values.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Shape in Medical Imaging
This book constitutes the proceedings of the International Workshop on Shape in Medical Imaging, ShapeMI 2024, which took place in Marrakesh, Morocco, on October 6, 2024, held in conjunction with MICCAI 2024. The 16 full papers included in this book were carefully reviewed and selected from 24 submissions. They focus on shape and spectral analysis, geometric learning and modeling algorithms, and application-driven research.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Cyberlibertarianism
An urgent reckoning with digital technology's fundamentally right-wing legal and economic underpinnings In a timely challenge to the potent political role of digital technology, Cyberlibertarianism argues that right-wing ideology was built into both the technical and social construction of the digital world from the start. Leveraging more than a decade of research, David Golumbia traces how digital evangelism has driven the worldwide shift toward the political right, concealing inequality, xenophobia, dishonesty, and massive corporate concentrations of wealth and power beneath the utopian presumption of digital technology as an inherent social good. Providing an incisive critique of the push for open access and open-source software and the legal battles over online censorship and net neutrality, Cyberlibertarianism details how the purportedly democratic internet has been employed as an organizing tool for terror and hate groups and political disinformation campaigns. As he unpacks our naively utopian conception of the digital world, Golumbia highlights technology's role in the advancement of hyperindividualist and antigovernment agendas, demonstrating how Silicon Valley corporations and right-wing economists; antiestablishment figures such as Julian Assange, Elon Musk, Peter Thiel, Edward Snowden, and Mark Zuckerberg; and seemingly positive voices such as John Perry Barlow, Cory Doctorow, the Electronic Freedom Foundation, and Wikipedia all have worked to hamper regulation and weaken legal safeguards against exploitation. Drawing from a wide range of thought in digital theory, economics, law, and political philosophy as well as detailed research and Golumbia's own experience as a software developer, Cyberlibertarianism serves as a clarion call to reevaluate the fraught politics of the internet. In the hope of providing a way of working toward a more genuinely democratic and egalitarian future for digital technology, this magisterial work insists that we must first understand the veiled dogmas from which it has been constructed. Retail e-book files for this title are screen-reader friendly.
Compiler Design Using Java(R)
This book is designed primarily for use as a textbook in a one-semester course on compiler design for undergraduate students and beginning graduate students. The only prerequisites for this book are familiarity with basic algorithms and data structures (lists, maps, recursion, etc.), a rudimentary knowledge of computer architecture and assembly language, and some experience with the Java programming language.A complete study of compilers could easily fill several graduate-level courses, and therefore some simplifications and compromises are necessary for a one-semester course that is accessible to undergraduate students. Following are some of the decisions made in order to accommodate the goals of this book.The book has a narrow focus as a project-oriented course on compilers. Compiler theory is kept to a minimum, but the project orientation retains the "fun" part of studying compilers.The source language being compiled is relatively simple, but it is powerful enough to be interesting and challenging. It has basic data types, arrays, procedures, functions, and parameters, but it relegates many other interesting language features to the project exercises.The target language is assembly language for a virtual machine with a stack-based architecture, similar to but much simpler than the Java Virtual Machine (JVM). This approach greatly simplifies code generation. Both an assembler and an emulator for the virtual machine are provided on the course web site.No special compiler-related tools are required or used within the book. Students require access only to a Java compiler and a text editor, but most students will want to use Java with an Integrated Development Environment (IDE).One very important component of a compiler is the parser, which verifies that a source program conforms to the language syntax and produces an intermediate representation of the program that is suitable for additional analysis and code generation. There are several different approaches to parsing, but in keeping with the focus on a one-semester course, this book emphasizes only one approach, recursive descent parsing with several lookahead tokens.
