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» Global Connectivity Potentials for Random Field Models
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CVPR
2008
IEEE
14 years 10 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
14 years 1 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
14 years 2 months 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
14 years 9 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
13 years 9 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