211 search results - page 4 / 43 » Semi-Markov Conditional Random Fields for Information Extrac... |
PAMI
2008
14 years 10 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...
IJCAI
2007
14 years 11 months ago
2007
Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task ...
78
Voted
ICML
2004
IEEE
15 years 11 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...
104
Voted
ICPR
2008
IEEE
15 years 11 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. ...
129
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ICDAR
2009
IEEE
14 years 8 months ago
2009
IEEE
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...