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» Feature Extraction Using ICA
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111
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ICNSC
2007
IEEE
15 years 10 months ago
Combined Support Vector Novelty Detection for Multi-channel Combustion Data
— Multi-channel combustion data, consisting of gas pressure and two combustion chamber luminosity measurements, are investigated in the prediction of combustion instability. Wave...
Lei A. Clifton, Hujun Yin, David A. Clifton, Yang ...
129
Voted
PCM
2007
Springer
114views Multimedia» more  PCM 2007»
15 years 9 months ago
Random Convolution Ensembles
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
Michael Mayo
124
Voted
NIME
2005
Springer
159views Music» more  NIME 2005»
15 years 9 months ago
Voice-controlled plucked bass guitar through two synthesis techniques
In this paper we present an example of the use of the singing voice as a controller for digital music synthesis. The analysis of the voice with spectral processing techniques, der...
Jordi Janer
115
Voted
ISMIR
2004
Springer
106views Music» more  ISMIR 2004»
15 years 9 months ago
Finding Approximate Repeating Patterns from Sequence Data
In this paper, an application of feature extraction from music data is first introduced to motivate our research of finding approximate repeating patterns from sequence data. An a...
Jia-Lien Hsu, Arbee L. P. Chen, Hung-Chen Chen
130
Voted
GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
15 years 8 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu