2200 search results - page 31 / 440 » Objective reduction using a feature selection technique |
CORR
2007
Springer
13 years 9 months ago
2007
Springer
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
IJCV
2008
13 years 9 months ago
2008
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
TCAD
2008
13 years 9 months ago
2008
This paper explores, develops, and investigates several bypass-sensitive compilation techniques to reduce the register file power by reducing the access frequency to the register f...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
ICCAD
2001
IEEE
14 years 6 months ago
2001
IEEE
- This paper presents a spectrally-weighted balanced truncation technique for RLC interconnects, a technique needed when the interconnect circuit parameters change as a result of v...