5603 search results - page 56 / 1121 » Feature Selection for Clustering |
ICML
2010
IEEE
13 years 11 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 11 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...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Much of recent action recognition research is based on
space-time interest points extracted from video using a Bag
of Words (BOW) representation. It mainly relies on the discrimi...
CVPR
2004
IEEE
15 years 10 hour ago
2004
IEEE
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
CVPR
2005
IEEE
14 years 3 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...