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» Approximate algorithms for neural-Bayesian approaches
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TSP
2008
178views more  TSP 2008»
14 years 9 months ago
Heteroscedastic Low-Rank Matrix Approximation by the Wiberg Algorithm
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
Pei Chen
SODA
2012
ACM
217views Algorithms» more  SODA 2012»
13 years 16 hour ago
Deterministic construction of an approximate M-ellipsoid and its applications to derandomizing lattice algorithms
We give a deterministic O(log n)n -time and space algorithm for the Shortest Vector Problem (SVP) of a lattice under any norm, improving on the previous best deterministic nO(n) -...
Daniel Dadush, Santosh Vempala
RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
15 years 2 months ago
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Sebastian Widz, Kenneth Revett, Dominik Slezak
64
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EVOW
1999
Springer
15 years 1 months ago
Approximate Equivalence Verification for Protocol Interface Implementation via Genetic Algorithms
This paper describes a new approximate approach for checking the correctness of the implementation of a protocol interface, comparing its lowlevel implementation with its high-leve...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...
WAOA
2010
Springer
232views Algorithms» more  WAOA 2010»
14 years 7 months ago
Approximation Algorithms for Domination Search
The r-domination search game on graphs is a game-theoretical approach to several graph and hypergraph parameters including treewidth and hypertree width. The task is to identify t...
Fedor V. Fomin, Petr A. Golovach, Dimitrios M. Thi...