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» Selectivity Estimation using Probabilistic Models
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CVPR
2007
IEEE
16 years 1 months ago
Spatio-Temporal Markov Random Field for Video Denoising
This paper presents a novel spatio-temporal Markov random field (MRF) for video denoising. Two main issues are addressed in this paper, namely, the estimation of noise model and t...
Jia Chen, Chi-Keung Tang
SSIAI
2000
IEEE
15 years 4 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
IFIP
2009
Springer
15 years 6 months ago
HMM-Based Trust Model
Probabilistic trust has been adopted as an approach to taking security sensitive decisions in modern global computing environments. Existing probabilistic trust frameworks either a...
Ehab ElSalamouny, Vladimiro Sassone, Mogens Nielse...
CRYPTO
2001
Springer
136views Cryptology» more  CRYPTO 2001»
15 years 4 months ago
Session-Key Generation Using Human Passwords Only
We present session-key generation protocols in a model where the legitimate parties share only a human-memorizable password. The security guarantee holds with respect to probabilis...
Oded Goldreich, Yehuda Lindell
BMCBI
2007
164views more  BMCBI 2007»
14 years 12 months ago
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...