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EMMCVPR
2007
Springer
14 years 4 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
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
15 years 5 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
IPPS
1998
IEEE
14 years 2 months ago
Implementing Parallelism in Random Discrete Event-Driven Simulation
Abstract. The inherently sequential nature of random discrete eventdriven simulation has made parallel and distributed processing di cult. This paper presents a method of applying ...
Marc Bumble, Lee D. Coraor
NIPS
2001
13 years 11 months ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr
ICCV
2003
IEEE
15 years 8 hour ago
Towards a Mathematical Theory of Primal Sketch and Sketchability
In this paper, we present a mathematical theory for Marr's primal sketch. We first conduct a theoretical study of the descriptive Markov random field model and the generative...
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu