5046 search results - page 81 / 1010 » Feature Selection from Huge Feature Sets |
177
click to vote
BMCBI
2004
15 years 6 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
203
click to vote
KDD
2010
ACM
15 years 10 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
186
click to vote
CIKM
2011
Springer
14 years 6 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
190
click to vote
MIR
2010
ACM
15 years 11 months ago
2010
ACM
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
153
click to vote
ICPR
2000
IEEE
16 years 7 months ago
2000
IEEE
Motion segmentation using feature correspondences can be regarded as a combinatorial problem. A motion segmentation algorithm using feature selection and subspace method is propos...