265 search results - page 16 / 53 » Discriminative Learning of Max-Sum Classifiers |
ICIP
2001
IEEE
14 years 11 months ago
2001
IEEE
This paper proposes a statistic framework for segmenting textured areas over real images by discriminant snakes. Our active contour model has the ability to learn different textur...
BMCBI
2008
13 years 10 months ago
2008
Background: Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amin...
ICIP
2010
IEEE
13 years 7 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
ACCV
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fish...
KDD
2002
ACM
14 years 10 months ago
2002
ACM
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...