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IJON
2007
94views more  IJON 2007»
13 years 7 months ago
A method for speeding up feature extraction based on KPCA
Kernel principal component analysis (KPCA) extracts features of samples with an efficiency in inverse proportion to the size of the training sample set. In this paper, we develop...
Yong Xu, David Zhang, Fengxi Song, Jing-Yu Yang, Z...
ICCV
2003
IEEE
14 years 27 days ago
A Model-Based Approach for Automated Feature Extraction in Fundus Images
A new approach to automatically extract the main features in color fundus images are proposed in this paper. Optic disk is localized by the principal component analysis (PCA) and ...
Huiqi Li, Opas Chutatape
ICIP
2004
IEEE
14 years 9 months ago
Advances in texture analysis-energy dominant component & multiple hypothesis testing
Modelling textured images as AM-FM functions has been applied during the last years to texture analysis and segmentation tasks. In this paper we present some advances in two direc...
Iasonas Kokkinos, Georgios Evangelopoulos, Petros ...
AVBPA
2003
Springer
140views Biometrics» more  AVBPA 2003»
14 years 25 days ago
Feature Extraction Using a Chaincoded Contour Representation of Fingerprint Images
A feature extraction method using the chaincode representation of fingerprint ridge contours is presented for use by Automatic Fingerprint Identification Systems. The representa...
Venu Govindaraju, Zhixin Shi, John Schneider
ICASSP
2010
IEEE
13 years 6 months ago
Towards effective singing voice extraction from stereophonic recordings
Extracting a singing voice from its music accompaniment can significantly facilitate certain applications of Music Information Retrieval including singer identification and singin...
Stratis Sofianos, Aladdin M. Ariyaeeinia, Richard ...