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ICASSP
2009
IEEE
14 years 4 months ago
A split quaternion nonlinear adaptive filter
A split quaternion learning algorithm for the training of nonlinear finite impulse response filters for the modelling of hypercomplex signals is proposed. A rigorous derivation ...
Bukhari Che Ujang, Clive Cheong Took, Alek Kavcic,...
AI
2009
Springer
14 years 4 months ago
Training Global Linear Models for Chinese Word Segmentation
This paper examines how one can obtain state of the art Chinese word segmentation using global linear models. We provide experimental comparisons that give a detailed road-map for ...
Dong Song, Anoop Sarkar
ICASSP
2008
IEEE
14 years 4 months ago
Ratio semi-definite classifiers
We present a novel classification model that is formulated as a ratio of semi-definite polynomials. We derive an efficient learning algorithm for this classifier, and apply it...
Jonathan Malkin, Jeff Bilmes
ICIC
2007
Springer
14 years 3 months ago
Usage of Hybrid Neural Network Model MLP-ART for Navigation of Mobile Robot
We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This appr...
Andrey Gavrilov, Sungyoung Lee
IBPRIA
2003
Springer
14 years 2 months ago
A Probabilistic Model for the Cooperative Modular Neural Network
Abstract. This paper presents a model for the probability of correct classification for the Cooperative Modular Neural Network (CMNN). The model enables the estimation of the perf...
Luís A. Alexandre, Aurélio C. Campil...