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» Markov Random Field Modeling in Computer Vision
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JMLR
2006
125views more  JMLR 2006»
13 years 9 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
14 years 1 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
CRV
2008
IEEE
205views Robotics» more  CRV 2008»
14 years 3 months ago
Accurate Boundary Localization using Dynamic Programming on Snakes
The extraction of contours using deformable models, such as snakes, is a problem of great interest in computer vision, particular in areas of medical imaging and tracking. Snakes ...
Akshaya Kumar Mishra, Paul W. Fieguth, David A. Cl...
SCALESPACE
2007
Springer
14 years 3 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
ECCV
2006
Springer
14 years 11 months ago
Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation
Abstract. The estimation of the epipolar geometry is especially difficult where the putative correspondences include a low percentage of inlier correspondences and/or a large subse...
Liran Goshen, Ilan Shimshoni