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CVPR
2007
IEEE
14 years 8 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
CORR
2004
Springer
111views Education» more  CORR 2004»
13 years 6 months ago
Maximum-likelihood decoding of Reed-Solomon Codes is NP-hard
Maximum-likelihood decoding is one of the central algorithmic problems in coding theory. It has been known for over 25 years that maximum-likelihood decoding of general linear cod...
Venkatesan Guruswami, Alexander Vardy
COMCOM
1998
95views more  COMCOM 1998»
13 years 6 months ago
Correlation properties of the token leaky bucket departure process
In this paper we focus on the behavior of the token leaky bucket mechanism with respect to second-order statistics of the departure process under various correlated cell arrival a...
Kenneth Mitchell, Appie van de Liefvoort, Jerry Pl...
TC
1998
13 years 6 months ago
An Efficient Solution to the Cache Thrashing Problem Caused by True Data Sharing
—When parallel programs are executed on multiprocessors with private caches, a set of data may be repeatedly used and modified by different threads. Such data sharing can often r...
Guohua Jin, Zhiyuan Li, Fujie Chen
PROCEDIA
2010
85views more  PROCEDIA 2010»
13 years 5 months ago
Toward interactive statistical modeling
When solving machine learning problems, there is currently little automated support for easily experimenting with alternative statistical models or solution strategies. This is be...
Sooraj Bhat, Ashish Agarwal, Alexander Gray, Richa...