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Intelligent Perception and Information Processing Bogserier

1 - 12 af 12 resultater
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  • Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images

    af Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang ...
    Serier serie Intelligent Perception and Information Processing
    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 ... Læs mere

    1.176,74 kr.

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  • Understanding Deep Learning

    af Simon J.D. Prince ...
    An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent ... Læs mere

    601,36 kr.

  • The Science of Deep Learning

    af Iddo Drori ...
    The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning ... Læs mere

    526,64 kr.

  • Sparse Representation, Modeling and Learning in Visual Recognition

    Theory, Algorithms and Applications

    af Hong Cheng ...
    Serier serie 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, ... Læs mere

    756,49 kr.

  • Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

    Redigeret af Sawyer D. Campbell, Douglas H. Werner ...
    Serier serie IEEE Press Series on Electromagnetic Wave Theory
    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 ... Læs mere

    961,86 kr.

  • Blind Source Separation

    Theory and Applications

    af 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 ... Læs mere

    1.148,61 kr.

  • Graph Neural Network for Hyperspectral Image Clustering

    af Yao Ding, Zhili Zhang, Haojie Hu, Renxiang Guan, Jie Feng, Zhiyong Lv ...
    Serier serie 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 ... Læs mere

    1.307,45 kr.

  • Deep Learning for Hyperspectral Image Analysis and Classification

    af Linmi Tao, Atif Mughees ...
    Serier serie Computer Science (R0)
    This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly.This book develops on two fronts: ... Læs mere

    1.494,25 kr.

  • Latent Factor Analysis for High-dimensional and Sparse Matrices

    A particle swarm optimization-based approach

    af Ye Yuan, Xin Luo ...
    Serier serie 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 ... Læs mere

    378,24 kr.

  • Normalization Techniques in Deep Learning

    af Lei Huang ...
    Serier serie 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 ... Læs mere

    462,24 kr.

  • Machine-Learning-Based Hyperspectral Image Processing

    Redigeret af Bing Zhang ...
    An authoritative deep dive into the most recent machine learning approaches to hyperspectral remote sensing image processingIn Machine-Learning-Based Hyperspectral Image Processing, a team of distinguished researchers led by Dr. Bing Zhang delivers an up-to-date discussion of machine learning-based approaches to hyperspectral image analysis. The contributors comprehensively review machine learning ... Læs mere

    814,74 kr.

  • Pattern Recognition and Computer Vision

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

    Redigeret af Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu ...
    Serier Bog 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, ... Læs mere

    756,49 kr.