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» Solving iterated functions using genetic programming
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121
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 9 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
CVPR
2005
IEEE
16 years 5 months ago
Restoration and Recognition in a Loop
In this paper we present a novel learning based method for restoring and recognizing images of digits that have been blurred using an unknown kernel. The novelty of our work is an...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
128
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CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
15 years 5 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
121
Voted
PLDI
2010
ACM
16 years 1 months ago
The Reachability-Bound Problem
We define the reachability-bound problem to be the problem of finding a symbolic worst-case bound on the number of times a given control location inside a procedure is visited in ...
Sumit Gulwani, Florian Zuleger
124
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APPROX
2006
Springer
120views Algorithms» more  APPROX 2006»
15 years 7 months ago
Single-Source Stochastic Routing
Abstract. We introduce and study the following model for routing uncertain demands through a network. We are given a capacitated multicommodity flow network with a single source an...
Shuchi Chawla, Tim Roughgarden