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JAT
2006
64views more  JAT 2006»
13 years 10 months ago
Nonlinear function approximation: Computing smooth solutions with an adaptive greedy algorithm
Opposed to linear schemes, nonlinear function approximation allows to obtain a dimension independent rate of convergence. Unfortunately, in the presence of data noise typical algo...
Andreas Hofinger
ALGORITHMICA
1999
102views more  ALGORITHMICA 1999»
13 years 10 months ago
Approximating Latin Square Extensions
In this paper, we consider the following question: what is the maximum number of entries that can be added to a partially lled latin square? The decision version of this question ...
Ravi Kumar, Alexander Russell, Ravi Sundaram
IPMI
2007
Springer
14 years 11 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
STOC
2003
ACM
140views Algorithms» more  STOC 2003»
14 years 10 months ago
Approximation schemes for clustering problems
We present a general approach for designing approximation algorithms for a fundamental class of geometric clustering problems in arbitrary dimensions. More specifically, our appro...
Wenceslas Fernandez de la Vega, Marek Karpinski, C...
CDC
2008
IEEE
14 years 4 months ago
Equivalence between Approximate Dynamic Inversion and Proportional-Integral control
—Approximate Dynamic Inversion (ADI) has been established as a method to control minimum-phase, nonaffine-incontrol systems. Previous results have shown that for single-input no...
Justin Teo, Jonathan P. How