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126
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CVPR
2007
IEEE
16 years 2 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
82
Voted
TACAS
2010
Springer
137views Algorithms» more  TACAS 2010»
15 years 7 months ago
Statistical Measurement of Information Leakage
Information theory provides a range of useful methods to analyse probability distributions and these techniques have been successfully applied to measure information flow and the ...
Konstantinos Chatzikokolakis, Tom Chothia, Apratim...
IPPS
1998
IEEE
15 years 4 months ago
A Performance Evaluation of CP List Scheduling Heuristics for Communication Intensive Task Graphs
List-based priority schedulers have long been one of the dominant classes of static scheduling algorithms. Such heuristics have been predominantly based around the "critical ...
Benjamin S. Macey, Albert Y. Zomaya
ICML
2004
IEEE
16 years 1 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
HSNMC
2003
Springer
120views Multimedia» more  HSNMC 2003»
15 years 5 months ago
Comparing Performance of SRAMT-LE Vs. Other Layered Encoding Schemes Regarding TCP Friendliness
In this paper we describe a hybrid sender and receiver-based adaptation scheme for multicast transmission of multimedia data using layered encoding, which we call SRAMT-LE (Sender-...
Christos Bouras, Apostolos Gkamas