174 search results - page 7 / 35 » A Conditional Random Field for Multiple-Instance Learning |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
JMLR
2008
13 years 7 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
INTERSPEECH
2010
13 years 2 months ago
2010
We extend our earlier work on deep-structured conditional random field (DCRF) and develop deep-structured hidden conditional random field (DHCRF). We investigate the use of this n...