5802 search results - page 19 / 1161 » Parallelizing Feature Selection |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
PDCN
2004
13 years 8 months ago
2004
This paper proposes a selective procedure inlining scheme to improve a multi-grain parallelism, which hierarchically exploits the coarse grain task parallelism among loops, subrou...
IPPS
1996
IEEE
13 years 11 months ago
1996
IEEE
In this paper, we consider the problem of selection on coarse-grained distributed memory parallel computers. We discuss several deterministic and randomized algorithms for paralle...
CVPR
2005
IEEE
14 years 1 months ago
2005
IEEE
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...