37 search results - page 2 / 8 » The Minimum Information Principle for Discriminative Learnin... |
CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
WACV
2007
IEEE
13 years 11 months ago
2007
IEEE
Visual categorization is fundamentally important for autonomous mobile robots to get intelligence such as novel object acquisition and topological place recognition. The main difï...
ECML
2005
Springer
13 years 11 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
CSB
2003
IEEE
13 years 10 months ago
2003
IEEE
: The biological world is highly stochastic and inhomogeneous in its behaviour. There are regions in DNA with high concentration of G or C bases; stretches of sequences with an abu...
CVPR
2001
IEEE
14 years 7 months ago
2001
IEEE
All positive examples are alike; each negative example is negative in its own way. During interactive multimedia information retrieval, the number of training samples fed-back by ...