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» Theories of Automatic Structures and Their Complexity
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ICASSP
2010
IEEE
13 years 8 months ago
Automatic detection of well sampled images via a new ringing measure
According to Shannon Sampling Theory, Fourier interpolation is the optimal way to reach subpixel accuracy from a properly-sampled digital image. However, for most images this inte...
Gwendoline Blanchet, Lionel Moisan, Bernard Roug&e...
NIPS
2007
13 years 9 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
DAC
2003
ACM
14 years 9 months ago
A new enhanced constructive decomposition and mapping algorithm
Structuring and mapping of a Boolean function is an important problem in the design of complex integrated circuits. Libraryaware constructive decomposition offers a solution to th...
Alan Mishchenko, Xinning Wang, Timothy Kam
GECCO
2007
Springer
196views Optimization» more  GECCO 2007»
14 years 2 months ago
Pareto optimal search based refactoring at the design level
Refactoring aims to improve the quality of a software systems’ structure, which tends to degrade as the system evolves. While manually determining useful refactorings can be cha...
Mark Harman, Laurence Tratt
CIKM
1997
Springer
14 years 5 days ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu