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» Approximate algorithms for neural-Bayesian approaches
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JCT
2007
117views more  JCT 2007»
15 years 6 months ago
Large independent sets in regular graphs of large girth
Let G be a d-regular graph with girth g, and let α be the independence number of G. We show that α(G) ≥ 1 2 1 − (d − 1)−2/(d−2) − (g) n where (g) → 0 as g → ∞,...
Joseph Lauer, Nicholas C. Wormald
134
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TSP
2008
102views more  TSP 2008»
15 years 6 months ago
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
Vladimir Katkovnik, Vladimir Spokoiny
182
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TSP
2008
178views more  TSP 2008»
15 years 6 months ago
Digital Computation of Linear Canonical Transforms
Abstract--We deal with the problem of efficient and accurate digital computation of the samples of the linear canonical transform (LCT) of a function, from the samples of the origi...
A. Koc, Haldun M. Özaktas, Cagatay Candan, M....
ORL
1998
137views more  ORL 1998»
15 years 5 months ago
Calculation of stability radii for combinatorial optimization problems
We present algorithms to calculate the stability radius of optimal or approximate solutions of binary programming problems with a min sum or min max objective function. Our algori...
Nilotpal Chakravarti, Albert P. M. Wagelmans
INTERSPEECH
2010
15 years 28 days ago
Unscented transform with online distortion estimation for HMM adaptation
In this paper, we propose to improve our previously developed method for joint compensation of additive and convolutive distortions (JAC) applied to model adaptation. The improvem...
Jinyu Li, Dong Yu, Yifan Gong, L. Deng