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ICIP
2005
IEEE
14 years 11 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
ICCV
2009
IEEE
1119views Computer Vision» more  ICCV 2009»
15 years 2 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
2007
IEEE
14 years 11 months ago
Subspace Extension to Phase Correlation Approach for Fast Image Registration
A novel extension of phase correlation to subspace correlation is proposed, in which 2-D translation is decomposed into two 1-D motions thus only 1-D Fourier transform is used to ...
Jinchang Ren, Theodore Vlachos, Jianmin Jiang
ALT
2006
Springer
14 years 6 months ago
Unsupervised Slow Subspace-Learning from Stationary Processes
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
Andreas Maurer
CVPR
2007
IEEE
14 years 11 months ago
Variational Bayes Based Approach to Robust Subspace Learning
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...
Takayuki Okatani, Koichiro Deguchi