ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Linear discriminant analysis (LDA) is a widely used feature extraction method for classification. We introduce distributed implementations of different versions of LDA, suitable ...
PRL
2006
13 years 4 months ago
2006
A feature extraction method using the chaincode representation of fingerprint ridge contours is presented. The representation allows efficient image quality enhancement and detect...
ISCI
2008
13 years 4 months ago
2008
In order to characterize the non-Gaussian information contained within the EEG signals, a new feature extraction method based on bispectrum is proposed and applied to the classifi...
ICVGIP
2004
13 years 6 months ago
2004
In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
MVA
2007
13 years 6 months ago
2007
This paper proposes a method for sign language recognition that bypasses the need for tracking by classifying the motion directly. The method uses the natural extension of haar li...
ICDAR
2003
IEEE
13 years 10 months ago
2003
IEEE
When recognizing multiple fonts, geometric features, such as the directional information of strokes, are generally robust against deformation but are weak against degradation. Thi...
ACII
2005
Springer
2005
Springer
Physiological Sensing and Feature Extraction for Emotion Recognition by Exploiting Acupuncture Spots
13 years 10 months ago
Previous emotion recognition systems have mainly focused on pattern classification, rather than utilizing sensing technologies or feature extraction methods. This paper introduces ...
ISVC
2005
Springer
13 years 10 months ago
2005
Springer
We describe a method for indexing and retrieving high-resolution image regions in large geospatial data libraries. An automated feature extraction method is used that generates a u...
IDEAL
2005
Springer
13 years 10 months ago
2005
Springer
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
ISNN
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...