4544 search results - page 446 / 909 » Reinforcement Learning with Time |
187
click to vote
Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
163
click to vote
CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
178
click to vote
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
161
click to vote
ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
188
click to vote
ICML
2009
IEEE
16 years 6 months ago
2009
IEEE
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...