1403 search results - page 14 / 281 » Sampling Techniques for Kernel Methods |
140
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
155
Voted
CIKM
2010
Springer
15 years 1 months ago
2010
Springer
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
124
Voted
MICRO
2006
IEEE
15 years 2 months ago
2006
IEEE
In the past few years, several research works have demonstrated that sampling can drastically speed up architecture simulation, and several of these sampling techniques are already...
119
Voted
CCE
2004
15 years 2 months ago
2004
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
149
Voted
NIPS
2008
15 years 4 months ago
2008
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...