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» On the Algorithmic Implementation of Stochastic Discriminati...
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CSDA
2006
91views more  CSDA 2006»
14 years 9 months ago
Model-based cluster and discriminant analysis with the MIXMOD software
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
Christophe Biernacki, Gilles Celeux, Gérard...
ANCS
2009
ACM
14 years 7 months ago
Divide and discriminate: algorithm for deterministic and fast hash lookups
Exact and approximate membership lookups are among the most widely used primitives in a number of network applications. Hash tables are commonly used to implement these primitive ...
Domenico Ficara, Stefano Giordano, Sailesh Kumar, ...
CDC
2010
IEEE
138views Control Systems» more  CDC 2010»
14 years 4 months ago
Sensor-based robot deployment algorithms
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...
Jerome Le Ny, George J. Pappas
CSDA
2007
81views more  CSDA 2007»
14 years 9 months ago
A stochastic EM algorithm for a semiparametric mixture model
Recently, there has been a considerable interest in finite mixture models with semi-/non-parametric component distributions. Identifiability of such model parameters is generall...
Laurent Bordes, Didier Chauveau, Pierre Vandekerkh...
ICIP
2003
IEEE
15 years 11 months ago
Algorithms for stochastic approximations of curvature flows
Curvature flows have been extensively considered from a deterministic point of view. They have been shown to be useful for a number of applications including crystal growth, flame...
Gozde B. Unal, Delphine Nain, G. Ben-Arous, Nahum ...