1839 search results - page 152 / 368 » Feature Selection in Clustering Problems |
CORR
2006
Springer
13 years 10 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
TASLP
2011
13 years 5 months ago
2011
Abstract—The shifted delta cepstrum (SDC) is a widely used feature extraction for language recognition (LRE). With a high context width due to incorporation of multiple frames, S...
CVPR
2004
IEEE
15 years 6 days ago
2004
IEEE
We describe a method for obtaining the principal objects, characters and scenes in a video by measuring the reoccurrence of spatial configurations of viewpoint invariant features....
BMCBI
2006
13 years 10 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
ICDM
2008
IEEE
14 years 4 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....