53 search results - page 2 / 11 » Constraint Score: A new filter method for feature selection ... |
SDM
2004
SIAM
13 years 7 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
AAAI
2008
13 years 8 months ago
2008
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
We present a novel method for finding more good feature pairs between two sets of features. We first select matched features by Bi-matching method as seed points, then organize th...
PAKDD
2009
ACM
14 years 16 days ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
ICASSP
2009
IEEE
14 years 15 days ago
2009
IEEE
We describe a new GMM-UBM speaker recognition system that uses standard cepstral features, but selects different frames of speech for different subsystems. Subsystems, or “const...