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1-12 sur 12 résultats pour « sheng xu »
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  • Neural Networks with Model Compression

    par Baochang Zhang, Tiancheng Wang, Sheng Xu, David Doermann ...
    Collections series Computer Science (R0)
    Deep learning has achieved impressive results in image classification, computer vision and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resources. The number of floating-point operations (FLOPs) has increased dramatically with larger networks, and this has become an obstacle for convolutional ... En savoir plus

    $192.99 CAD

  • Binary Neural Networks

    Algorithms, Architectures, and Applications

    par Baochang Zhang, Sheng Xu, Mingbao Lin, Tiancheng Wang, David Doermann ...
    Collections series Multimedia Computing, Communication and Intelligence
    Deep learning has achieved impressive results in image classification, computer vision, and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resources. The number of floatingpoint operations (FLOPs) has increased dramatically with larger networks, and this has become an obstacle for convolutional ... En savoir plus

    $101.99 CAD

  • An Introduction to Scientific Computing with MATLAB® and Python Tutorials

    par Sheng Xu ...
    This textbook is written for the first introductory course on scientific computing. It covers elementary numerical methods for linear systems, root finding, interpolation, numerical integration, numerical differentiation, least squares problems, initial value problems and boundary value problems. It includes short Matlab and Python tutorials to quickly get students started on programming. It makes ... En savoir plus

    $109.99 CAD

  • Integration Techniques for Micro/Nanostructure-based Large-Area Electronics

    par Carlos García Núñez, Fengyuan Liu, Sheng Xu, Ravinder Dahiya ...
    Collections series Elements in Flexible and Large-Area Electronics
    Advanced nanostructured materials such as organic and inorganic micro/nanostructures are excellent building blocks for electronics, optoelectronics, sensing, and photovoltaics because of their high-crystallinity, long aspect-ratio, high surface-to-volume ratio, and low dimensionality. However, their assembly over large areas and integration in functional circuits are a matter of intensive ... En savoir plus

    $23.99 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

  • 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

  • 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

  • Low-Power Computer Vision

    Improve the Efficiency of Artificial Intelligence

    Modifié par George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen, Bo Chen ...
    Collections series Chapman & Hall/CRC Computer Vision
    Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems. ... En savoir plus

    $92.99 CAD

  • Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

    Modifié par Sawyer D. Campbell, Douglas H. Werner ...
    Collections series IEEE Press Series on Electromagnetic Wave Theory and Applications
    Advances in Electromagnetics Empowered by Artificial Intelligence and Deep LearningAuthoritative reference on the state of the art in the field with additional coverage of important foundational conceptsAdvances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device ... En savoir plus

    $172.99 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

  • 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

    $140.99 CAD

  • Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays

    par Junyi Wang, Jun Fu ...
    Collections series Engineering (R0)
    This monograph studies the synchronization control of Markovian complex neural networks with time-varying delays, and the structure of the book is summarized as follows. Chapter 1 introduces the system description and some background knowledges, and also addresses the motivations of this monograph. In Chapter 2, the stochastic synchronization issue of Markovian coupled neural networks with ... En savoir plus

    $153.99 CAD