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Meilleures séries dans ce pays : Canada

1-12 sur 12 résultats pour « jinxing li »
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  • Information Fusion

    Machine Learning Methods

    par Jinxing Li, Bob Zhang, David Zhang ...
    Collections series Computer Science (R0)
    In the big data era, increasing information can be extracted from the same source object or scene. For instance, a person can be verified based on their fingerprint, palm print, or iris information, and a given image can be represented by various types of features, including its texture, color, shape, etc. These multiple types of data extracted from a single object are called multi-view, multi ... En savoir plus

    $115.99 CAD

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  • Pattern Recognition

    par Konstantinos Koutroumbas, Sergios Theodoridis ...
    This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods ... En savoir plus

    $95.99 CAD

  • Neural Networks and Statistical Learning

    par Ke-Lin Du, M. N. S. Swamy ...
    Collections series Engineering (R0)
    Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.Each of ... En savoir plus

    $128.09 CAD

  • Graph Representation Learning

    par William L. Hamilton ...
    Collections series Synthesis Lectures on Artificial Intelligence and Machine Learning
    This book is a foundational guide to graph representation learning, including state-of-the art advances, and introduces the highly successful graph neural network (GNN) formalism.Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for ... En savoir plus

    $52.99 CAD

  • Rough-Fuzzy Pattern Recognition

    Applications in Bioinformatics and Medical Imaging

    par Pradipta Maji, Sankar K. Pal ...
    Collections Livre 3 - Wiley Series in Bioinformatics
    Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processingEmphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to ... En savoir plus

    $139.99 CAD

  • Cognitive Radio Communication and Networking

    Principles and Practice

    par Robert Caiming Qiu, Zhen Hu, Husheng Li, Michael C. Wicks ...
    The author presents a unified treatment of this highly interdisciplinary topic to help define the notion of cognitive radio. The book begins with addressing issues such as the fundamental system concept and basic mathematical tools such as spectrum sensing and machine learning, before moving on to more advanced concepts and discussions about the future of cognitive radio. From the fundamentals in ... En savoir plus

    $130.99 CAD

  • Data Analysis For Network Cyber-security

    par Niall M Adams, Nicholas A Heard ...
    There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system can be made invulnerable. Data Analysis for Network Cyber-Security focuses on monitoring and analyzing network traffic data, with the intention of preventing, or quickly identifying, malicious ... En savoir plus

    $43.99 CAD

  • Handbook of Robust Low-Rank and Sparse Matrix Decomposition

    Applications in Image and Video Processing

    Modifié par Thierry Bouwmans, Necdet Serhat Aybat, El-hadi Zahzah ...
    Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing and new ideas, the book conveniently gives you one-stop access to a number of different decompositions ... En savoir plus

    $92.99 CAD

  • Sparse Representation, Modeling and Learning in Visual Recognition

    Theory, Algorithms and Applications

    par Hong Cheng ...
    Collections series Computer Science (R0)
    This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, ... En savoir plus

    $115.99 CAD

  • Blind Source Separation

    Theory and Applications

    par Xianchuan Yu, Dan Hu, Jindong Xu ...
    A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studiesThe book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on ... En savoir plus

    $199.99 CAD

  • Sparse Coding And Its Applications In Computer Vision

    par Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Thomas S Huang, Ding Liu, Yingzhen Yang ...
    This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety of applications of sparse coding are discussed, ranging from low-level image processing tasks ... En savoir plus

    $45.99 CAD

  • Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

    5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II

    Modifié par Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhi-Yong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang ...
    Collections Livre 2 - Springer Nature Proceedings Computer Science
    The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015.The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern ... En savoir plus

    $64.09 CAD