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» Computing the Dimension of Linear Subspaces
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SOFSEM
2000
Springer
13 years 8 months ago
Computing the Dimension of Linear Subspaces
Abstract. Since its very beginning, linear algebra is a highly algorithmic subject. Let us just mention the famous Gau
Martin Ziegler, Vasco Brattka
ICCV
2009
IEEE
1119views Computer Vision» more  ICCV 2009»
14 years 9 months ago
Spectral clustering of linear subspaces for motion segmentation
This paper studies automatic segmentation of multiple motions from tracked feature points through spectral embedding and clustering of linear subspaces. We show that the dimensi...
Fabien Lauer, Christoph Schn¨orr
ICIP
2003
IEEE
14 years 6 months ago
Sirface vs. Fisherface: recognition using class specific linear projection
Using a novel data dimension reduction method proposed in statistics, we develop an appearance-based face recognition algorithm which is insensitive to large variation in lighting...
Yangrong Ling, Xiangrong Yin, Suchendra M. Bhandar...
CVPR
2004
IEEE
14 years 6 months ago
Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Qifa Ke, Takeo Kanade
CVPR
2004
IEEE
14 years 6 months ago
A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials
We consider the problem of clustering data lying on multiple subspaces of unknown and possibly different dimensions. We show that one can represent the subspaces with a set of pol...
Jacopo Piazzi, René Vidal, Yi Ma