1419 search results - page 178 / 284 » Approximation Methods for Supervised Learning |
ICANN
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
Abstract. We propose a method for object category localization by partially matching edge contours to a single shape prototype of the category. Previous work in this area either re...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
MOS (mean opinion score) subjective quality studies are used to evaluate many signal processing methods. Since laboratory quality studies are time consuming and expensive, researc...
ICML
1998
IEEE
14 years 11 months ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
BMVC
1997
13 years 11 months ago
1997
Traditional methods for ATR Automatic Target Recognition use infrared IR sensors for detecting heat emanating fromtargets. IR-based ATR techniques are susceptible to sensor-in...