2884 search results - page 229 / 577 » Evaluating learning algorithms and classifiers |
117
Voted
JIFS
2008
15 years 3 months ago
2008
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
157
Voted
CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
156
Voted
AAAI
2006
15 years 5 months ago
2006
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
103
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
133
Voted
CIARP
2009
Springer
15 years 10 months ago
2009
Springer
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...