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» BDD minimization for approximate computing
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123
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FOCS
2008
IEEE
15 years 10 months ago
Hardness of Minimizing and Learning DNF Expressions
We study the problem of finding the minimum size DNF formula for a function f : {0, 1}d → {0, 1} given its truth table. We show that unless NP ⊆ DTIME(npoly(log n) ), there i...
Subhash Khot, Rishi Saket
112
Voted
VLSID
2007
IEEE
94views VLSI» more  VLSID 2007»
16 years 4 months ago
A Reduced Complexity Algorithm for Minimizing N-Detect Tests
? We give a new recursive rounding linear programming (LP) solution to the problem of N-detect test minimzation. This is a polynomialtime solution that closely approximates the exa...
Kalyana R. Kantipudi, Vishwani D. Agrawal
133
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SPIN
2004
Springer
15 years 9 months ago
Minimization of Counterexamples in SPIN
We propose an algorithm to find a counterexample to some property in a finite state program. This algorithm is derived from SPIN’s one, but it finds a counterexample faster th...
Paul Gastin, Pierre Moro, Marc Zeitoun
135
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RECOMB
2007
Springer
16 years 4 months ago
Minimizing and Learning Energy Functions for Side-Chain Prediction
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
Chen Yanover, Ora Schueler-Furman, Yair Weiss
118
Voted
ICCV
2009
IEEE
16 years 8 months ago
An Algorithm for Minimizing the Piecewise Smooth Mumford-Shah Functional
In this work we revisit the Mumford-Shah functional, one of the most studied variational approaches to image segmentation. The contribution of this paper is to propose an algori...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...