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CVPR
2005
IEEE
14 years 8 months ago
Rank-R Approximation of Tensors: Using Image-as-Matrix Representation
We present a novel multilinear algebra based approach for reduced dimensionality representation of image ensembles. We treat an image as a matrix, instead of a vector as in tradit...
Hongcheng Wang, Narendra Ahuja
ISSAC
1994
Springer
165views Mathematics» more  ISSAC 1994»
13 years 10 months ago
Constructing Permutation Representations for Large Matrix Groups
New techniques, both theoretical and practical, are presented for constructing a permutation representation for a matrix group. We assume that the resulting permutation degree, n,...
Gene Cooperman, Larry Finkelstein, Bryant W. York,...
AMFG
2005
IEEE
314views Biometrics» more  AMFG 2005»
13 years 12 months ago
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
ICIP
2007
IEEE
14 years 8 months ago
Video Content Representation by Incremental Non-Negative Matrix Factorization
Nonnegative Matrix Factorization (NMF) is a powerful decomposition tool which has been used in several content representation applications recently. However, there are some diffic...
Bilge Günsel, Serhat Selcuk Bucak
GMP
2006
IEEE
113views Solid Modeling» more  GMP 2006»
14 years 10 days ago
Matrix Based Subdivision Depth Computation for Extra-Ordinary Catmull-Clark Subdivision Surface Patches
Abstract. A new subdivision depth computation technique for extraordinary Catmull-Clark subdivision surface (CCSS) patches is presented. The new technique improves a previous techn...
Gang Chen, Fuhua (Frank) Cheng