13 search results - page 1 / 3 » Discriminative Feature Selection via Multiclass Variable Mem... |
ICML
2002
IEEE
14 years 6 months ago
2002
IEEE
TKDE
2012
11 years 7 months ago
2012
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
KDD
2010
ACM
13 years 3 months ago
2010
ACM
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
AUSAI
2008
Springer
13 years 7 months ago
2008
Springer
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...