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GECCO
2004
Springer
15 years 10 months ago
Designing Multiplicative General Parameter Filters Using Adaptive Genetic Algorithms
Multiplicative general parameter (MGP) approach to finite impulse response (FIR) filtering introduces a novel way to realize cost effective adaptive filters in compact very large s...
Jarno Martikainen, Seppo J. Ovaska
EMO
2006
Springer
158views Optimization» more  EMO 2006»
15 years 8 months ago
The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration
The design of quality measures for approximations of the Pareto-optimal set is of high importance not only for the performance assessment, but also for the construction of multiobj...
Eckart Zitzler, Dimo Brockhoff, Lothar Thiele
ICIP
2007
IEEE
16 years 6 months ago
High Dimension Lattice Vector Quantizer Design for Generalized Gaussian Distributions
LVQ is a simple but powerful tool for vector quantization and can be viewed as a vector generalization of uniform scalar quantization. Like VQ, LVQ is able to take into account sp...
Leonardo H. Fonteles, Marc Antonini
ICIP
2009
IEEE
16 years 5 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 10 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...