Graph Embedding for Pattern Analysis

Graph Embedding for Pattern Analysis pdf epub mobi txt 电子书 下载 2025

出版者:
作者:Yun Fu
出品人:
页数:260
译者:
出版时间:2013
价格:USD 109.00
装帧:
isbn号码:9781461444565
丛书系列:
图书标签:
  • Machine_Learning 
  • Clustering 
  •  
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Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.

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