The 2nd IEEE International Workshop on Subspace Methods (Subspace 2009)
September 27, 2009, in conjunction with ICCV2009, Kyoto, Japan
Location: Kyoto University, Faculty of Engineering Bldg. #3, 4th floor
Oral and Poster Preview: Room W4
Poster: Gallery space (Poster Instructions)
9:50-10:00 Opening at Room W4
10:00-11:00 Oral Session 2 at Room W4 (3 orals, 20 minutes each)
Nonnegative Matrix Factorization with Gibbs Random Field Modeling
Shengcai Liao, Zhen Lei, Stan Z. Li
Learning Invariances with Stationary Subspace Analysis
Frank C. Meinecke, Paul von Bunau, Motoaki Kawanabe, Klaus-R. Muller
Mahalanobis Distance Minimization Mapping : M3
Aiko Oka, Toshikazu Wada
11:00-11:30 Morning Break (coffee served at Gallery space by ICCV)
11:30-12:30 Oral Session 3 at Room W4 (3 orals, 20 minutes each)
Large Margin Classifiers Based on Convex Class Models
Hakan Cevikalp, Bill Triggs
A General Framework for Approximate Nearest Subspace Search
Ronen Basri, Tal Hassner, Lihi Zelnik-Manor
A Strategy of Classification via Sparse Dictionary Learned by Non-negative K-SVD
Rongguo Zhang, Chunheng Wang, Baihua Xiao
12:30-12:50 Poster Preview at Room W4 (15 poster previews, 1 minute each)
12:50-14:00 Lunch Break
14:00-15:30 Poster Session / Oral-Poster-Hybrid Session at Gallery space
Identity and Variation Spaces: Revisiting the Fisher Linear Discriminant
Sheng Zhang, Terence Sim, Mei-Chen Yeh
Investigating the Spatial Support of Signal and Noise in Face Recognition
Yun Fu, Simon J.D. Prince
Robust Faces Manifold Modeling: Most Expressive Vs. Most Sparse Criterion
Xiaoyang Tan, Lishan Qiao, Wenjuan Gao, Jun Liu
Nonnegative Matrix Factorization with Gibbs Random Field Modeling
Shengcai Liao, Zhen Lei, Stan Z. Li
Learning Invariances with Stationary Subspace Analysis
Frank C. Meinecke, Paul von Bunau, Motoaki Kawanabe, Klaus-R. Muller
Mahalanobis Distance Minimization Mapping : M3
Aiko Oka, Toshikazu Wada
Large Margin Classifiers Based on Convex Class Models
Hakan Cevikalp, Bill Triggs
A General Framework for Approximate Nearest Subspace Search
Ronen Basri, Tal Hassner, Lihi Zelnik-Manor
A Strategy of Classification via Sparse Dictionary Learned by Non-negative K-SVD
Rongguo Zhang, Chunheng Wang, Baihua Xiao
Stepwise Correlation Metric Based Discriminant Analysis and Multi-probe Images Fusion for Face Recognition
Zhen Lei, Shengcai Liao, Stan Z. Li
Non-linear Generative Embeddings for Kernels on Latent Variable Models
Anna Carli, Manuele Bicego, Sisto Baldo, Vittorio Murino
Subset Kernel PCA for Pattern Recognition
Yoshikazu Washizawa
Multiple Pattern Classification by Sparse Subspace Decomposition
Tomoya Sakai
Visual Category Recognition Using Spectral Regression and Kernel Discriminant Analysis
M. A. Tahir, J. Kittler, K. Mikolajczyk, F. Yan, Koen van de Sande, T. Gevers
Spectral Face Clustering
Biswaroop Palit, Rakesh Nigam, Keren Perlmutter, Sharon Perlmutter
3D-MAM: 3D Morphable Appearance Model for Efficient Fine Head Pose Estimation from Still Images
Markus Storer, Martin Urschler, Horst Bischof
Optimal Feature Selection for Subspace Image Matching
Gemma Roig, Xavier Boix, Fernando De la Torre
Learning Good Features for Active Shape Models
Nuria Brunet, Francisco Perez, Fernando De la Torre
Multilinear Isometric Embedding for Visual Pattern Analysis
Yan Liu, Yang Liu, Keith C.C. Chan
Synthesis of Multiple Pose Facial Images Using Tensor-based Subspace Learning Method
Xu Qiao, Yen-Wei Chen, Xian-Hua Han, Takanori Igarashi, Keisuke Nakao
Head Pose Estimation Using Multilinear Subspace Analysis for Robot Human Awareness
Tonislav Ivanov, Larry Matthies, M. Alex O. Vasilescu
Median K-flats for Hybrid Linear Modeling with Many Outliers
Teng Zhang, Arthur Szlam, Gilad Lerman
Optimization on the Manifold of Multiple Homographies
Anders Eriksson, Anton van den Hengel
Curve Fitting by Spherical Least Squares on Two-dimensional Sphere
Jun Fujiki, Shotaro Akaho
15:30-16:00 Afternoon Break (coffee served at Gallery space by ICCV)
16:00-17:30 Oral Session 1 at Room W4 (Long paper session: 3 orals, 30 minutes each)
Identity and Variation Spaces: Revisiting the Fisher Linear Discriminant
Sheng Zhang, Terence Sim, Mei-Chen Yeh
Investigating the Spatial Support of Signal and Noise in Face Recognition
Yun Fu, Simon J.D. Prince
Robust Faces Manifold Modeling: Most Expressive Vs. Most Sparse Criterion
Xiaoyang Tan, Lishan Qiao, Wenjuan Gao, Jun Liu
17:30-17:40 Closing at Room W4
18:00- Reception (TBA)