287 search results - page 15 / 58 » Optimal Solutions for Sparse Principal Component Analysis |
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
Abstract- The Pareto optimal solutions to a multiobjective optimization problem often distribute very regularly in both the decision space and the objective space. Most existing ev...
155
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ORL
2011
14 years 4 months ago
2011
We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
ICMCS
2005
IEEE
15 years 3 months ago
2005
IEEE
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
93
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CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas of research ? especially in the C class classificat...