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» Estimating Markov Random Field Potentials for Natural Images
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CVPR
1999
IEEE
13 years 12 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
CVPR
2011
IEEE
13 years 3 months ago
Discrete-Continuous Optimization for Large-scale Structure from Motion
Recent work in structure from motion (SfM) has successfully built 3D models from large unstructured collections of images downloaded from the Internet. Most approaches use increme...
David Crandall, Andrew Owens, Noah Snavely, Daniel...
IANDC
2010
116views more  IANDC 2010»
13 years 6 months ago
Weak bisimulation is sound and complete for pCTL*
Abstract. We investigate weak bisimulation of probabilistic systems in the presence of nondeterminism, i.e. labelled concurrent Markov chains (LCMC) with silent transitions. We bui...
Josée Desharnais, Vineet Gupta, Radha Jagad...
TIP
2008
222views more  TIP 2008»
13 years 7 months ago
Local Region Descriptors for Active Contours Evolution
Edge-based and region-based active contours are frequently used in image segmentation. While edges characterize small neighborhoods of pixels, region descriptors characterize entir...
Cristina Darolti, Alfred Mertins, Christoph Bodens...
CIKM
2008
Springer
13 years 9 months ago
Passage relevance models for genomics search
We present a passage relevance model for integrating syntactic and semantic evidence of biomedical concepts and topics using a probabilistic graphical model. Component models of t...
Jay Urbain, Ophir Frieder, Nazli Goharian