1989 search results - page 130 / 398 » Learning to Select Useful Landmarks |
150
click to vote
ECAI
2004
Springer
15 years 11 months ago
2004
Springer
Abstract— Learning techniques in robotic grasping applications have usually been concerned with the way a hand approaches to an object, or with improving the motor control of man...
183
click to vote
PR
2007
15 years 5 months ago
2007
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...
169
click to vote
WAPCV
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
170
click to vote
NIPS
2007
15 years 7 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
162
click to vote
AI
2010
Springer
15 years 11 months ago
2010
Springer
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...