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» Computing stable models: worst-case performance estimates
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NIPS
1996
13 years 10 months ago
Interpreting Images by Propagating Bayesian Beliefs
A central theme of computational vision research has been the realization that reliable estimation of local scene properties requires propagating measurements across the image. Ma...
Yair Weiss
ICMCS
2009
IEEE
130views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Fast multi-reference motion estimation via statistical learning for H.264/AVC
In the H.264/AVC coding standard, motion estimation (ME) is allowed to use multiple reference frames to make full use of reducing temporal redundancy in a video sequence. Although...
Chen-Kuo Chiang, Shang-Hong Lai
SSIAI
2000
IEEE
14 years 1 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
ICIP
2008
IEEE
14 years 10 months ago
Efficient BP stereo with automatic paramemeter estimation
In this paper, we propose a series of techniques to enhance the computational performance of existing Belief Propagation (BP) based stereo matching that relies on automatic estima...
Shafik Huq, Andreas Koschan, Besma R. Abidi, Mongi...
JCB
2002
74views more  JCB 2002»
13 years 8 months ago
Using Substitution Matrices to Estimate Probability Distributions for Biological Sequences
Accurately estimating probabilities from observations is important for probabilistic-based approaches to problems in computational biology. In this paper we present a biologically...
Eleazar Eskin, William Stafford Noble, Yoram Singe...