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CVPR
2003
IEEE
16 years 8 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
COCO
2006
Springer
100views Algorithms» more  COCO 2006»
15 years 10 months ago
How to Get More Mileage from Randomness Extractors
Let C be a class of distributions over {0, 1}n . A deterministic randomness extractor for C is a function E : {0, 1}n {0, 1}m such that for any X in C the distribution E(X) is sta...
Ronen Shaltiel
JAR
2000
129views more  JAR 2000»
15 years 6 months ago
Heavy-Tailed Phenomena in Satisfiability and Constraint Satisfaction Problems
We study the runtime distributions of backtrack procedures for propositional satisfiability and constraint satisfaction. Such procedures often exhibit a large variability in perfor...
Carla P. Gomes, Bart Selman, Nuno Crato, Henry A. ...
ITC
2003
IEEE
147views Hardware» more  ITC 2003»
15 years 12 months ago
The Testability Features of The ARM1026EJ Microprocessor Core
The DFT and Test challenges faced, and the solutions applied, to the ARM1026EJ microprocessor core are described in this paper. New DFT techniques have been created to address the...
Teresa L. McLaurin, Frank Frederick, Rich Slobodni...
TIT
2010
104views Education» more  TIT 2010»
15 years 1 months ago
Nonparametric statistical inference for ergodic processes
In this work a method for statistical analysis of time series is proposed, which is used to obtain solutions to some classical problems of mathematical statistics under the only as...
Daniil Ryabko, Boris Ryabko