596 search results - page 59 / 120 » Learning noise |
NIPS
2004
13 years 10 months ago
2004
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
CI
2005
13 years 8 months ago
2005
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
CVPR
2003
IEEE
14 years 11 months ago
2003
IEEE
Monitoring activities using video data is an important surveillance problem. A special scenario is to learn the pattern of normal activities and detect abnormal events from a very...
CVPR
2007
IEEE
14 years 24 days ago
2007
IEEE
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
GECCO
2006
Springer
14 years 16 days ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...