1775 search results - page 55 / 355 » Learning Spectral Clustering |
148
Voted
SDM
2007
SIAM
15 years 4 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...
151
Voted
BMVC
2010
15 years 17 days ago
2010
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
95
Voted
EDM
2010
15 years 4 months ago
2010
We show a variety of ways to cluster student activity datasets using different clustering and subspace clustering algorithms. Our results suggest that each algorithm has its own st...
151
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TNN
2011
14 years 9 months ago
2011
—This paper proposes a feature extraction method for motor imagery brain–computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomeno...
95
Voted
ALT
2009
Springer
15 years 11 months ago
2009
Springer
Motivated by the principle of agnostic learning, we present an extension of the model introduced by Balcan, Blum, and Gupta [3] on computing low-error clusterings. The extended mod...