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» Polynomial Interpretations and the Complexity of Algorithms
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FLOPS
2004
Springer
15 years 11 months ago
A Brief Survey of Quantum Programming Languages
Abstract. This article is a brief and subjective survey of quantum programming language research. 1 Quantum Computation Quantum computing is a relatively young subject. It has its ...
Peter Selinger
STOC
1994
ACM
128views Algorithms» more  STOC 1994»
15 years 10 months ago
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
ICDT
2012
ACM
251views Database» more  ICDT 2012»
13 years 8 months ago
Computing universal models under guarded TGDs
A universal model of a database D and a set Σ of integrity constraints is a database that extends D, satisfies Σ, and is most general in the sense that it contains sound and co...
André Hernich
CVIU
2011
14 years 9 months ago
A comparative study of object-level spatial context techniques for semantic image analysis
Abstract—In this paper, three approaches to utilizing objectlevel spatial contextual information for semantic image analysis are presented and comparatively evaluated. Contextual...
Georgios Th. Papadopoulos, Carsten Saathoff, Hugo ...
COCO
2005
Springer
123views Algorithms» more  COCO 2005»
15 years 12 months ago
If NP Languages are Hard on the Worst-Case Then It is Easy to Find Their Hard Instances
We prove that if NP ⊆ BPP, i.e., if SAT is worst-case hard, then for every probabilistic polynomial-time algorithm trying to decide SAT, there exists some polynomially samplable ...
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma