171 search results - page 20 / 35 » A Boosting Approach to Multiple Instance Learning |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
IAT
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
ECCV
2010
Springer
14 years 23 days ago
2010
Springer
Abstract. In many cases, human actions can be identified not only by the singular observation of the human body in motion, but also properties of the surrounding scene and the rel...
AAAI
2006
13 years 9 months ago
2006
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...