66 search results - page 3 / 14 » Combined central and subspace clustering for computer vision... |
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
ICPR
2002
IEEE
13 years 12 months ago
2002
IEEE
We consider clustering as computation of a structure of proximity relationships within a data set in a feature space or its subspaces. We propose a data structure to represent suc...
ETS
2006
IEEE
14 years 1 months ago
2006
IEEE
A central problem in built-in self test (BIST) is how to efficiently generate a small set of test vectors that detect all targeted faults. We propose a novel solution that uses l...
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, we systematically study the effect of poorly registered faces on the training and inferring stages of traditional face recognition algorithms. We then propose a nov...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...