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GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 8 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
15 years 10 months ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali
141
Voted
DCC
2002
IEEE
16 years 4 months ago
Globally Optimal Uneven Error-Protected Packetization of Scalable Code Streams
In this paper, we present a family of new algorithms for rate-fidelity optimal packetization of scalable source bit streams with uneven error protection. In the most general settin...
Sorina Dumitrescu, Xiaolin Wu, Zhe Wang
PAMI
2008
162views more  PAMI 2008»
15 years 4 months ago
Bayes Optimality in Linear Discriminant Analysis
We present an algorithm which provides the one-dimensional subspace where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main ...
Onur C. Hamsici, Aleix M. Martínez
110
Voted
AUTOMATICA
2007
70views more  AUTOMATICA 2007»
15 years 4 months ago
Nudelman interpolation, parametrizations of lossless functions and balanced realizations
Abstract: We investigate the parametrization issue for discrete-time stable allpass multivariable systems by means of a Schur algorithm involving a Nudelman interpolation condition...
Jean-Paul Marmorat, Martine Olivi