5046 search results - page 104 / 1010 » Non-redundant data clustering |
150
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SIAMSC
2008
15 years 6 months ago
2008
Coding of data, usually upstream of data analysis, has crucial implications for the data analysis results. By modifying the data coding
190
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ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
257
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CVPR
2012
IEEE
13 years 8 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...