338 search results - page 1 / 68 » Learning Flexible Features for Conditional Random Fields |
PAMI
2008
13 years 4 months ago
2008
Abstract-- Extending traditional models for discriminative labeling of structured data to include higher-order structure in the labels results in an undesirable exponential increas...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
ACL
2008
13 years 5 months ago
2008
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
RSS
2007
13 years 5 months ago
2007
— Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing t...
ICML
2009
IEEE
14 years 5 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...