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Computer Science (R0) Série de Livres électroniques

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  • Latent Factor Analysis for High-dimensional and Sparse Matrices

    A particle swarm optimization-based approach

    par Ye Yuan, Xin Luo ...
    Collections series Computer Science (R0)
    Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related industrial applications. The performance of a latent factor analysis model relies heavily on appropriate hyper-parameters. However, most hyper-parameters are data-dependent, and using grid-search to tune these hyper ... En savoir plus

    $57.99 CAD

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  • 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

    $64.99 CAD

  • Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

    Modifié par Zhixiang Yin, Xianwen Fang, Linqiang Pan ...
    Collections series Springer Nature Proceedings excluding Computer Science
    International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) is one of the flagship conferences on Bio-Computing, bringing together the world’s leading scientists from different areas of Natural Computing. Since 2006, the conferences have taken place at Wuhan (2006), Zhengzhou (2007), Adelaide (2008), Beijing (2009), Liverpool & Changsha (2010), Malaysia (2011) and India ... En savoir plus

    $371.99 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

  • 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

    $94.99 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

    $46.99 CAD

  • Mathematical Problems in Data Science

    Theoretical and Practical Methods

    par Li M. Chen, Zhixun Su, Bo Jiang ...
    Collections series Computer Science (R0)
    This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods. For unsolved problems such as incomplete data relation and reconstruction, the book ... En savoir plus

    $141.99 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

  • 5G for Future Wireless Networks

    First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings

    Modifié par Keping Long, Victor C.M. Leung, Haijun Zhang, Zhiyong Feng, Yonghui Li, Zhongshan Zhang ...
    Collections series Springer Nature Proceedings Computer Science
    This book constitutes the proceedings of the First International Conference on 5G for Future Wireless Networks, 5GWN 2017, held in Beijing, China, in April 2017. The 64 full papers were selected from 135 submissions and present the state of the art and practical applications of 5G technologies. The exponentially growing data traffic caused by the development of mobile Internet and smart phones ... En savoir plus

    $115.99 CAD

  • Data-Driven Iterative Learning Control for Discrete-Time Systems

    par Ronghu Chi, Yu Hui, Zhongsheng Hou ...
    Collections series Mathematics and Statistics (R0)
    This book belongs to the subject of control and systems theory. It studies a novel data-driven framework for the design and analysis of iterative learning control (ILC) for nonlinear discrete-time systems. A series of iterative dynamic linearization methods is discussed firstly to build a linear data mapping with respect of the system’s output and input between two consecutive iterations. On this ... En savoir plus

    $192.99 CAD

  • Dynamic Network Representation Based on Latent Factorization of Tensors

    par Hao Wu, Xuke Wu, Xin Luo ...
    Collections series Computer Science (R0)
    A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic real-time interactions among them, where each node indicates a specified entity, each directed link indicates a real-time interaction, and the strength of an interaction can be quantified as the weight of a link. As the ... En savoir plus

    $64.99 CAD

  • Cloud Computing and Security

    Third International Conference, ICCCS 2017, Nanjing, China, June 16-18, 2017, Revised Selected Papers, Part II

    Modifié par Xingang You, Xingming Sun, Han-Chieh Chao, Elisa Bertino ...
    Collections Livre 2 - Springer Nature Proceedings Computer Science
    This two volume set LNCS 10602 and LNCS 10603 constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Cloud Computing and Security, ICCCS 2017, held in Nanjing, China, in June 2017.The 116 full papers and 11 short papers of these volumes were carefully reviewed and selected from 391 submissions. The papers are organized in topical sections such as: ... En savoir plus

    $115.99 CAD