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ICIP
2008
IEEE
14 years 11 months ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
ICPR
2006
IEEE
14 years 10 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
ICML
2005
IEEE
14 years 10 months ago
2D Conditional Random Fields for Web information extraction
The Web contains an abundance of useful semistructured information about real world objects, and our empirical study shows that strong sequence characteristics exist for Web infor...
Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Y...
SIGMOD
2009
ACM
189views Database» more  SIGMOD 2009»
14 years 10 months ago
Query segmentation using conditional random fields
A growing mount of available text data are being stored in relational databases, giving rise to an increasing need for the RDBMSs to support effective text retrieval. In this pape...
Xiaohui Yu, Huxia Shi
ICASSP
2009
IEEE
14 years 4 months ago
Conditional random fields for the prediction of signal peptide cleavage sites
Correct prediction of signal peptide cleavage sites has a significant impact on drug design. State-of-the-art approaches to cleavage site prediction typically use generative mode...
Man-Wai Mak, Sun-Yuan Kung