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» Nonparametric Belief Propagation
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ECCV
2004
Springer
15 years 11 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
ECCV
2006
Springer
15 years 11 months ago
Comparison of Energy Minimization Algorithms for Highly Connected Graphs
Algorithms for discrete energy minimization play a fundamental role for low-level vision. Known techniques include graph cuts, belief propagation (BP) and recently introduced tree-...
Vladimir Kolmogorov, Carsten Rother
ECCV
2006
Springer
15 years 11 months ago
Figure/Ground Assignment in Natural Images
Abstract. Figure/ground assignment is a key step in perceptual organization which assigns contours to one of the two abutting regions, providing information about occlusion and all...
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik
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ECCV
2006
Springer
15 years 11 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with som...
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...
ICDE
2006
IEEE
193views Database» more  ICDE 2006»
15 years 11 months ago
Probabilistic Message Passing in Peer Data Management Systems
Until recently, most data integration techniques involved central components, e.g., global schemas, to enable transparent access to heterogeneous databases. Today, however, with t...
Philippe Cudré-Mauroux, Karl Aberer, Andras...