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Computer Science (R0) Serie de eBooks

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  • Distributed Optimization in Networked Systems

    Algorithms and Applications

    de Qingguo Lü, Xiaofeng Liao, Huaqing Li, Shaojiang Deng, Shanfu Gao ...
    Series series Computer Science (R0)
    This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learning). Readers may be particularly interested in the sections on consensus protocols, optimization skills, ... Leer más

    $170.99 USD

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  • Graph Theoretic Methods in Multiagent Networks

    de Mehran Mesbahi, Magnus Egerstedt ...
    Series series Princeton Series in Applied Mathematics
    This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph ... Leer más

    $70.59 USD

  • Algorithms for Sparse Linear Systems

    de Jennifer Scott, Miroslav Tůma ...
    Series series Mathematics and Statistics (R0)
    Large sparse linear systems of equations are ubiquitous in science, engineering and beyond. This open access monograph focuses on factorization algorithms for solving such systems. It presents classical techniques for complete factorizations that are used in sparse direct methods and discusses the computation of approximate direct and inverse factorizations that are key to constructing general ... Leer más

    Gratis

  • Graph Representation Learning

    de William L. Hamilton ...
    Series 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 ... Leer más

    $43.99 USD

  • Computation, Cryptography, and Network Security

    Edición de Nicholas J. Daras, Michael Th. Rassias ...
    Series series Mathematics and Statistics (R0)
    Analysis, assessment, and data management are core competencies for operation research analysts. This volume addresses a number of issues and developed methods for improving those skills. It is an outgrowth of a conference held in April 2013 at the Hellenic Military Academy, and brings together a broad variety of mathematical methods and theories with several applications. It discusses directions ... Leer más

    $89.99 USD

  • Machine Learning in Complex Networks

    de Thiago Christiano Silva, Liang Zhao ...
    Series series Computer Science (R0)
    This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is presented, offering necessary background material. In the second part, we describe in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised ... Leer más

    $98.09 USD

  • Handbook of Robust Low-Rank and Sparse Matrix Decomposition

    Applications in Image and Video Processing

    Edición de 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 ... Leer más

    $66.99 USD

  • Sparse Representation, Modeling and Learning in Visual Recognition

    Theory, Algorithms and Applications

    de Hong Cheng ...
    Series 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, ... Leer más

    $89.99 USD

  • 3D Point Cloud Analysis

    Traditional, Deep Learning, and Explainable Machine Learning Methods

    de Shan Liu, Min Zhang, Pranav Kadam, C.-C. Jay Kuo ...
    This book introduces the point cloud; its applications in industry, and the most frequently used datasets. It mainly focuses on three computer vision tasks -- point cloud classification, segmentation, and registration -- which are fundamental to any point cloud-based system. An overview of traditional point cloud processing methods helps readers build background knowledge quickly, while the deep ... Leer más

    $107.99 USD

  • Combinatorial Optimization and Applications

    9th International Conference, COCOA 2015, Houston, TX, USA, December 18-20, 2015, Proceedings

    Edición de Zaixin Lu, Donghyun Kim, Weili Wu, Wei Li, Ding-Zhu Du ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 9th International Conference on Combinatorial Optimization and Applications, COCOA 2015, held in Houston, TX, USA, in December 2015. The 59 full papers included in the book were carefully reviewed and selected from 125 submissions. Topics covered include classic combinatorial optimization; geometric optimization; network optimization; applied ... Leer más

    $49.99 USD

  • Blind Source Separation

    Theory and Applications

    de 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 ... Leer más

    $162.00 USD

  • Mathematical Problems in Data Science

    Theoretical and Practical Methods

    de Li M. Chen, Zhixun Su, Bo Jiang ...
    Series 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 ... Leer más

    $107.99 USD