265 search results - page 9 / 53 » Document Image Segmentation Using a 2D Conditional Random Fi... |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
ACL
2006
13 years 8 months ago
2006
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
Automatic segmentation and classification of recorded meetings provides a basis towards understanding the content of a meeting. It enables effective browsing and querying in a me...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...
INFORMATICALT
2006
13 years 7 months ago
2006
The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the...