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RECOMB
2005
Springer
14 years 7 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
ECCV
2008
Springer
14 years 5 months ago
Window Annealing over Square Lattice Markov Random Field
Monte Carlo methods and their subsequent simulated annealing are able to minimize general energy functions. However, the slow convergence of simulated annealing compared with more ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
IJCAI
2007
13 years 8 months ago
Training Conditional Random Fields Using Virtual Evidence Boosting
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...
Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. ...
VMV
2001
209views Visualization» more  VMV 2001»
13 years 8 months ago
A Novel Probabilistic Model for 3D Object Recognition: Spin-Glass Markov Random Fields
This contribution presents a new class of MRF, that is inspired by methods of statistical physics. The new energy function assumes full-connectivity in the neighborhood system and...
Barbara Caputo, Sahla Bouattour, Dietrich Paulus
ISCI
2010
134views more  ISCI 2010»
13 years 5 months ago
Cascade Markov random fields for stroke extraction of Chinese characters
Extracting perceptually meaningful strokes plays an essential role in modeling structures of handwritten Chinese characters for accurate character recognition. This paper proposes...
Jia Zeng, Wei Feng, Lei Xie, Zhi-Qiang Liu