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» Computing with subspaces
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ICPR
2008
IEEE
14 years 8 months ago
Cone-restricted subspace methods
In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper...
Takumi Kobayashi, Nobuyuki Otsu
CVPR
2004
IEEE
14 years 9 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
SOFSEM
2000
Springer
13 years 11 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
CVPR
2005
IEEE
14 years 9 months ago
Concurrent Subspaces Analysis
A representative subspace is significant for image analysis, while the corresponding techniques often suffer from the curse of dimensionality dilemma. In this paper, we propose a ...
Dong Xu, Shuicheng Yan, Lei Zhang, HongJiang Zhang...
ISSPIT
2010
13 years 2 months ago
On the advantages of subspace tracking for temporal updating
When doing parameter estimation, ESPRIT is an often used algorithm. As input, ESPRIT needs the eigenvectors of the signal subspace. These can be generated by an eigenvalue decompos...
Matthias Lechtenberg, Jürgen Götze