Graph Embedding for Pattern Analysis /
| Corporate Author: | |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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| Edition: | 1st ed. 2013. |
| Subjects: |
Table of Contents:
- Multilevel Analysis of Attributed Graphs for Explicit Graph Embedding in Vector Spaces
- Feature Grouping and Selection over an Undirected Graph
- Median Graph Computation by Means of Graph Embedding into Vector Spaces
- Patch Alignment for Graph Embedding
- Feature Subspace Transformations for Enhancing K-Means Clustering
- Learning with ℓ1-Graph for High Dimensional Data Analysis
- Graph-Embedding Discriminant Analysis on Riemannian Manifolds for Visual Recognition
- A Flexible and Effective Linearization Method for Subspace Learning
- A Multi-Graph Spectral Approach for Mining Multi-Source Anomalies
- Graph Embedding for Speaker Recognition.