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Intelligent Perception and Information Processing Serie de eBooks

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

    de Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang ...
    Series series 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 ... Leer más

    $2,575 MXN

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  • Understanding Deep Learning

    de 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 ... Leer más

    $1,239 MXN

  • The Science of Deep Learning

    de 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 ... Leer más

    $945 MXN

  • 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

    $1,656 MXN

  • Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

    Edición de Sawyer D. Campbell, Douglas H. Werner ...
    Series series 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 ... Leer más

    $2,098 MXN

  • 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

    $2,669 MXN

  • Machine Learning for Transportation Research and Applications

    de Yinhai Wang, Zhiyong Cui, Ruimin Ke ...
    Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This textbookis designed for college or graduate-level students in transportation or closely related fields ... Leer más

    $1,496 MXN

  • Graph Neural Network for Hyperspectral Image Clustering

    de 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 ... Leer más

    $2,575 MXN

  • Deep Learning for Hyperspectral Image Analysis and Classification

    de Linmi Tao, Atif Mughees ...
    Series series 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: ... Leer más

    $2,943 MXN

  • Latent Factor Analysis for High-dimensional and Sparse Matrices

    A particle swarm optimization-based approach

    de 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 ... Leer más

    $828 MXN

  • Normalization Techniques in Deep Learning

    de 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 ... Leer más

    $1,012 MXN

  • Pattern Recognition and Computer Vision

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

    Edición de Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu ...
    Series Libro 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, ... Leer más

    $1,656 MXN