2013

Graph Embedding for Pattern Analysis

Editors:

ISBN: 978-1-4614-4456-5 (Print) 978-1-4614-4457-2 (Online)

Table of contents (10 chapters)

  1. Front Matter

    Pages i-viii

  2. No Access

    Book Chapter

    Pages 1-26

    Multilevel Analysis of Attributed Graphs for Explicit Graph Embedding in Vector Spaces

  3. No Access

    Book Chapter

    Pages 27-43

    Feature Grouping and Selection Over an Undirected Graph

  4. No Access

    Book Chapter

    Pages 45-71

    Median Graph Computation by Means of Graph Embedding into Vector Spaces

  5. No Access

    Book Chapter

    Pages 73-118

    Patch Alignment for Graph Embedding

  6. No Access

    Book Chapter

    Pages 119-138

    Improving Classifications Through Graph Embeddings

  7. No Access

    Book Chapter

    Pages 139-156

    Learning with 1-Graph for High Dimensional Data Analysis

  8. No Access

    Book Chapter

    Pages 157-175

    Graph-Embedding Discriminant Analysis on Riemannian Manifolds for Visual Recognition

  9. No Access

    Book Chapter

    Pages 177-203

    A Flexible and Effective Linearization Method for Subspace Learning

  10. No Access

    Book Chapter

    Pages 205-227

    A Multi-graph Spectral Framework for Mining Multi-source Anomalies

  11. No Access

    Book Chapter

    Pages 229-260

    Graph Embedding for Speaker Recognition