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)