Graph Embedding for Pattern Analysis

Released on by Yun Fu
preview-18

  • Graph Embedding for Pattern Analysis Book Detail

  • Author : Yun Fu
  • Release Date : 2012-11-19
  • Publisher : Springer Science & Business Media
  • Genre : Technology & Engineering
  • Pages : 264
  • ISBN 13 : 1461444578
  • File Size : 57,57 MB
DOWNLOAD BOOK

Graph Embedding for Pattern Analysis by Yun Fu PDF Summary

Book Description: 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.

Disclaimer: www.yourbookbest.com does not own Graph Embedding for Pattern Analysis books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Graph Embedding for Pattern Analysis

Graph Embedding for Pattern Analysis

File Size : 20,20 MB
Total View : 8147 Views
DOWNLOAD

Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and

Graph Representation Learning

Graph Representation Learning

File Size : 3,3 MB
Total View : 781 Views
DOWNLOAD

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational induct