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GECCO
2004
Springer
15 years 11 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
DAGM
2005
Springer
15 years 11 months ago
A Novel Parameter Decomposition Approach to Faithful Fitting of Quadric Surfaces
This paper addresses a common problem in dealing with range images. We propose a novel method to fit surfaces of known types via a parameter decomposition approach. This approach ...
Xiaoyi Jiang, Da-Chuan Cheng
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 11 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
JEI
2006
162views more  JEI 2006»
15 years 6 months ago
Markovian segmentation and parameter estimation on graphics hardware
In this paper, we show how Markovian strategies used to solve well-known segmentation problems such as motion estimation, motion detection, motion segmentation, stereovision, and c...
Pierre-Marc Jodoin, Max Mignotte
AAAI
2008
15 years 8 months ago
Exposing Parameters of a Trained Dynamic Model for Interactive Music Creation
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
Dan Morris, Ian Simon, Sumit Basu