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» Markov Random Field Models in Computer Vision
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WABI
2009
Springer
129views Bioinformatics» more  WABI 2009»
15 years 8 months ago
biRNA: Fast RNA-RNA Binding Sites Prediction
We present biRNA, a novel algorithm for prediction of binding sites between two RNAs based on minimization of binding free energy. Similar to RNAup approach [30], we assume the bin...
Hamidreza Chitsaz, Rolf Backofen, Süleyman Ce...
CIKM
2008
Springer
15 years 3 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
BMVC
2010
14 years 11 months ago
Incremental Model Selection for Detection and Tracking of Planar Surfaces
Man-made environments are abundant with planar surfaces which have attractive properties and are a prerequisite for a variety of vision tasks. This paper presents an incremental m...
Johann Prankl, Michael Zillich, Bastian Leibe, Mar...
108
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COLING
2008
15 years 3 months ago
An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features
We propose a new integrated approach based on Markov logic networks (MLNs), an effective combination of probabilistic graphical models and firstorder logic for statistical relatio...
Xiaofeng Yu, Wai Lam
CVPR
2006
IEEE
16 years 3 months ago
Context and Hierarchy in a Probabilistic Image Model
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...
Ya Jin, Stuart Geman