Graph Embedding for Pattern Analysis

1. Multilevel Analysis of Attributed Graphs for Explicit Graph Embedding in Vector Spaces
Muhammad Muzzamil Luqman, Jean-Yves Ramel, Josep Lladós

2. Feature Grouping and Selection Over an Undirected Graph
Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye

3. Median Graph Computation by Means of Graph Embedding into Vector Spaces
Miquel Ferrer, Itziar Bardají, Ernest Valveny, Dimosthenis Karatzas, Horst Bunke

4. Patch Alignment for Graph Embedding
Yong Luo, Dacheng Tao, Chao Xu

5. Improving Classifications Through Graph Embeddings
Anirban Chatterjee, Sanjukta Bhowmick, Padma Raghavan

6. Learning with ℓ
1-Graph
for High Dimensional Data Analysis
Jianchao Yang, Bin Cheng, Shuicheng Yan, Yun Fu, Thomas Huang

7. Graph-Embedding Discriminant Analysis on Riemannian Manifolds for Visual Recognition
Sareh Shirazi, Azadeh Alavi, Mehrtash T. Harandi, Brian C. Lovell

8. A Flexible and Effective Linearization Method for Subspace Learning
Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang

9. A Multi-graph Spectral Framework for Mining Multi-source Anomalies
Jing Gao, Nan Du, Wei Fan, Deepak Turaga, Srinivasan Parthasarathy, Jiawei Han

10. Graph Embedding for Speaker Recognition
Z. N. Karam, W. M. Campbell

Avainsanat: Engineering, Communications Engineering, Networks, Pattern Recognition, Artificial Intelligence (incl. Robotics), Signal, Image and Speech Processing