241 search results - page 17 / 49 » Learning Classes of Probabilistic Automata |
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
JMLR
2010
13 years 2 months ago
2010
Many real world applications employ multivariate performance measures and each example can belong to multiple classes. The currently most popular approaches train an SVM for each ...
AAAI
2008
13 years 9 months ago
2008
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...