37 search results - page 4 / 8 » Sparse conformal predictors |
DCC
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper we propose a new motion compensated prediction technique that enables successful predictive encoding during fades, blended scenes, temporally decorrelated noise, and...
COLING
2000
13 years 9 months ago
2000
tn this paper, we present a new 1)hrase break prediction architecture that integrates probabilistic apt)roach with decision-tree based error correction. The probabilistic method a...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We describe a statistical approach to software debugging in the presence of multiple bugs. Due to sparse sampling issues and complex interaction between program predicates, many g...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
Large margin classifiers have demonstrated their advantages in many visual learning tasks, and have attracted much attention in vision and image processing communities. In this pa...