1110 search results - page 61 / 222 » Clustering with the Connectivity Kernel |
TAMC
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Kernelizations are an important tool in designing fixed parameter algorithms for parameterized decision problems. We introduce an analogous notion for counting problems,...
ICDM
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
PAMI
2008
13 years 10 months ago
2008
In this work, we systematically study the problem of event recognition in unconstrained news video sequences. We adopt the discriminative kernel-based method for which video clip s...
ECML
2004
Springer
14 years 3 months ago
2004
Springer
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...