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ICDAR
2007
IEEE
15 years 4 months ago
Document Image Segmentation Using a 2D Conditional Random Field Model
This work relates to the implementation of a 2D conditional random field model in the context of document image analysis. Our model makes it possible to take variability into acco...
Stéphane Nicolas, J. Dardenne, Thierry Paqu...
CORR
2008
Springer
107views Education» more  CORR 2008»
14 years 9 months ago
Randomized Methods for Linear Constraints: Convergence Rates and Conditioning
We study randomized variants of two classical algorithms: coordinate descent for systems of linear equations and iterated projections for systems of linear inequalities. Expanding...
D. Leventhal, A. S. Lewis
ACL
2009
14 years 7 months ago
Markov Random Topic Fields
Most approaches to topic modeling assume an independence between documents that is frequently violated. We present an topic model that makes use of one or more user-specified grap...
Hal Daume III
EMMCVPR
2001
Springer
15 years 2 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
ICIP
2009
IEEE
15 years 10 months ago
Age Regression From Faces Using Random Forests
Predicting the age of a person through face image analysis holds the potential to drive an extensive array of real world applications from human computer interaction and security ...