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Artificial Intelligence (R0) Série de Livres électroniques

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  • Graph Neural Network for Hyperspectral Image Clustering

    par Yao Ding, Zhili Zhang, Haojie Hu, Renxiang Guan, Jie Feng, Zhiyong Lv ...
    Collections series Artificial Intelligence (R0)
    This book investigates detailed hyperspectral image clustering using graph neural network (graph learning) methods, focusing on the overall construction of the model, design of self-supervised methods, image pre-processing, and feature extraction of graph information. Multiple graph neural network-based clustering methods for hyperspectral images are proposed, effectively improving the clustering ... En savoir plus

    $179.99 CAD

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  • Representation Learning for Natural Language Processing

    par Zhiyuan Liu, Yankai Lin, Maosong Sun ...
    Collections series Computer Science (R0)
    This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those ... En savoir plus

    Gratuit

  • Hypergraph Computation

    par Qionghai Dai, Yue Gao ...
    Collections series Computer Science (R0)
    This open access book discusses the theory and methods of hypergraph computation.Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly ... En savoir plus

    Gratuit

  • 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

  • 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

  • Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part III

    Modifié par Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, Jose A. Lozano ...
    Collections Livre 3 - Springer Nature Proceedings Computer Science
    The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic.The 210 full papers presented in these ... En savoir plus

    $179.99 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

  • Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images

    par Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang ...
    Collections series Engineering (R0)
    This book deals with hyperspectral image classification using graph neural network methods, focusing on classification model designing, graph information dissemination, and graph construction. In the book, various graph neural network based classifiers have been proposed for hyperspectral image classification to improve the classification accuracy. This book has promoted the application of graph ... En savoir plus

    $179.99 CAD

  • 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

  • Dynamical Behaviors of Fractional-Order Complex Dynamical Networks

    par Jin-Liang Wang ...
    Collections series Engineering (R0)
    This book benefits researchers, engineers, and graduate students in the field of fractional-order complex dynamical networks. Recently, the dynamical behaviors (e.g., passivity, finite-time passivity, synchronization, and finite-time synchronization, etc.) for fractional-order complex networks (FOCNs) have attracted considerable research attention in a wide range of fields, and a variety of ... En savoir plus

    $218.99 CAD

  • Self-Learning Optimal Control of Nonlinear Systems

    Adaptive Dynamic Programming Approach

    par Qinglai Wei, Ruizhuo Song, Benkai Li, Xiaofeng Lin ...
    Collections series Engineering (R0)
    This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to ... En savoir plus

    $167.99 CAD

  • Rough Sets

    International Joint Conference, IJCRS 2025, Chongqing, China, May 11–13, 2025, Proceedings, Part II

    Modifié par Qinghua Zhang, Christopher Henry, Richard Jensen, Xinbo Gao, Guoyin Wang, JingTao Yao, Chris Cornelis, Shuyin Xia ...
    Collections Livre 2 - Springer Nature Proceedings Computer Science
    This three-volume set LNAI 15708-15709-15110 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2025, held in Chongqing, China, during May 11–13, 2025.The 90 full papers included in these volumes were carefully reviewed and selected from 187 submissions. They are organized in topical sections as follows:Part I: Rough Set Models and Foundations; Fuzzy Rough Sets ... En savoir plus

    $96.99 CAD