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» Boruta - A System for Feature Selection
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IJCAI
2007
13 years 10 months ago
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...
IJON
2006
146views more  IJON 2006»
13 years 8 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
HAIS
2009
Springer
13 years 6 months ago
Unearth the Hidden Supportive Information for an Intelligent Medical Diagnostic System
This paper presents an intelligent diagnostic supporting system
Sam Chao, Fai Wong
ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
14 years 2 months ago
From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification
Little attention has been paid so far to physiological signals for emotion recognition compared to audio-visual emotion channels, such as facial expressions or speech. In this pap...
Johannes Wagner, Jonghwa Kim, Elisabeth Andr&eacut...
APCHI
1998
IEEE
14 years 26 days ago
Features of Eye Gaze Interface for Selection Tasks
Eye gaze interface has potential as a new HumanComputerInteractionmethod, evidentin the numerouskinds developed so far. However, in order to make sure that such an interface is bo...
Takehiko Ohno