236 search results - page 26 / 48 » Learning How to Propagate Using Random Probing |
KDD
1998
ACM
14 years 1 months ago
1998
ACM
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
CVPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the pres...
ICRA
2005
IEEE
14 years 2 months ago
2005
IEEE
Abstract— This paper introduces a novel approach to representing and learning tool affordances by a robot. The tool representation described here uses a behavior-based approach t...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
Component-based detection methods have demonstrated their promise by integrating a set of part-detectors to deal with large appearance variations of the target. However, an essent...
AI
2010
Springer
13 years 9 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...