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» PCA in Autocorrelation Space
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CGF
2000
80views more  CGF 2000»
13 years 7 months ago
Context-based Space Filling Curves
A context-based scanning technique for images is presented. An image is scanned along a context-based space filling curve that is computed so as to exploit inherent coherence in t...
Revital Dafner, Daniel Cohen-Or, Yossi Matias
CEC
2003
IEEE
14 years 26 days ago
Exploring the search space of quantum programs
Here we present a first study of search spaces and fitness landscapes in the context of the evolution of quantum programs. We consider small instances of the Deutsch-Jozsa proble...
André Leier, Wolfgang Banzhaf
NIPS
2003
13 years 9 months ago
Eigenvoice Speaker Adaptation via Composite Kernel PCA
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation data is available. At the heart of the method is principal component analysis (...
James T. Kwok, Brian Mak, Simon Ho
ICPR
2008
IEEE
14 years 2 months ago
Illuminant dependence of PCA, NMF and NTF in spectral color imaging
In this study Principal Component Analysis (PCA), Non-negative Matrix Factorization (NMF) and Nonnegative Tensor Factorization (NTF) are applied as dimension reduction methods in ...
Alexey Andriyashin, Jussi Parkkinen, Timo Jaaskela...
JCIT
2008
117views more  JCIT 2008»
13 years 7 months ago
The New Face Recognition Technique With the use of PCA and LDA
Image recognition using various image classifiers is an active research area. In this paper we will describe a new face recognition method based on PCA (Principal Component Analys...
Seyed Zeinolabedin Moussavi, Saeedreza Ehteram, Al...