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» Global Connectivity Potentials for Random Field Models
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CVPR
2008
IEEE
16 years 7 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
ECAL
2003
Springer
15 years 11 months ago
Contextual Random Boolean Networks
Abstract. We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks [1] as models of contextual deterministic discrete dynamical systems. We show that ch...
Carlos Gershenson, Jan Broekaert, Diederik Aerts
EMMCVPR
2007
Springer
16 years 1 days ago
A New Bayesian Method for Range Image Segmentation
: We presented and evaluated a new Bayesian method for range image segmentation. The method proceeds in to stages. First, an initial segmentation was produced by a randomized regio...
Smaine Mazouzi, Mohamed Batouche
PODC
2009
ACM
16 years 6 months ago
Brief announcement: global consistency can be easier than point-to-point communication
Global consistency or Byzantine Agreement (BA) and reliable point-to-point communication are two of the most important and well-studied problems in distributed computing. Informal...
Prasant Gopal, Anuj Gupta, Pranav K. Vasishta, Piy...
ISVC
2010
Springer
15 years 7 months ago
A Novel Consistency Regularizer for Meshless Nonrigid Image Registration
In nonrigid motion analysis, deformation fields are often modeled using splines defined on a control-point grid. Inspired by recent development of meshfree methods, we propose a no...
Wei Liu, Eraldo Ribeiro