174 search results - page 15 / 35 » A Conditional Random Field for Multiple-Instance Learning |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
ACL
2006
13 years 9 months ago
2006
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
SIAMIS
2010
13 years 2 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
NIPS
2003
13 years 9 months ago
2003
In this paper we present Discriminative Random Fields (DRF), a discriminative framework for the classification of natural image regions by incorporating neighborhood spatial depe...