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Showing 1 - 12 of 12 results for “yao ding”
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  • Graph Neural Network for Hyperspectral Image Clustering

    by Yao Ding, Zhili Zhang, Haojie Hu, Renxiang Guan, Jie Feng, Zhiyong Lv ...
    Series 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 ... Read more

    $143.99 USD

  • Automated Machine Learning for Person Re-Identification

    by Hongyang Gu, Yao Ding, Xiaogang Yang, Ruitao Lu, Lei Pu, Siming Han ...
    Series series Artificial Intelligence (R0)
    This book delves into the cutting-edge field of person re-identification (ReID), a critical area within deep learning and computer vision. Addressing key challenges in current ReID models, it presents novel research combining automated machine learning (AutoML) techniques across three core aspects: data augmentation, network architecture, and loss functions.Readers will discover five innovative ... Read more

    $125.99 USD

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

    by Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang ...
    Series 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 ... Read more

    $143.99 USD

  • Grinding of Single-Crystal Superalloys

    Fundamentals and Technologies

    by Wenfeng Ding, Qing Miao, Yao Sun, Ning Qian, Biao Zhao, Yadong Gong, Jiuhua Xu ...
    Comprehensive reference on state-of-the-art aerospace materials, reviewing the latest developments in the field and providing guidance on machining challengesGrinding of Single-Crystal Superalloys provides a comprehensive understanding of grinding technology for single-crystal nickel-based superalloys. It explores and analyzes grinding mechanisms and characteristics using both theoretical and ... Read more

    $120.00 USD

  • Introduction to Cryospheric Science

    Edited by Dahe Qin, Tandong Yao, Yongjian Ding, Jiawen Ren ...
    Series series Earth and Environmental Science (R0)
    This book introduces systematically the cryospheric science, covering the formation, development, evolution, and research methods of each component of the cryosphere, the interaction between the cryosphere and the other spheres of the climate system and the anthroposphere, and the hot topics of social and economic sustainable development and geopolitics. The authors are world-renowned experts and ... Read more

    $80.99 USD

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  • Sparse Representation, Modeling and Learning in Visual Recognition

    Theory, Algorithms and Applications

    by 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, ... Read more

    $89.99 USD

  • Latent Factor Analysis for High-dimensional and Sparse Matrices

    A particle swarm optimization-based approach

    by Ye Yuan, Xin Luo ...
    Series 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 ... Read more

    $44.99 USD

  • Self-Learning Optimal Control of Nonlinear Systems

    Adaptive Dynamic Programming Approach

    by Qinglai Wei, Ruizhuo Song, Benkai Li, Xiaofeng Lin ...
    Series 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 ... Read more

    $134.99 USD

  • Pattern Recognition and Computer Vision

    7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part XIII

    Edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu ...
    Series Book 13 - Springer Nature Proceedings Computer Science
    This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18–20, 2024.The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, ... Read more

    $89.99 USD

  • Dynamical Behaviors of Fractional-Order Complex Dynamical Networks

    by Jin-Liang Wang ...
    Series 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 ... Read more

    $179.99 USD

  • Normalization Techniques in Deep Learning

    by Lei Huang ...
    Series series eBColl Synthesis Collection 11
    This book presents and surveys normalization techniques with a deep analysis in training deep neural networks. In addition, the author provides technical details in designing new normalization methods and network architectures tailored to specific tasks. Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and ... Read more

    $53.99 USD

  • Dynamic Network Representation Based on Latent Factorization of Tensors

    by Hao Wu, Xuke Wu, Xin Luo ...
    Series 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 ... Read more

    $49.99 USD