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» Principal Component Analysis Based on L1-Norm Maximization
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ICIP
2008
IEEE
15 years 11 months ago
Robust video fingerprinting based on 2D-OPCA of affine covariant regions
This paper proposes a robust video fingerprinting method based on 2-Dimensional Oriented Principal Component Analysis (2D-OPCA) of affine covariant regions. The goal of video fing...
Chang Dong Yoo, Sunil Lee
66
Voted
ISCAS
2005
IEEE
142views Hardware» more  ISCAS 2005»
15 years 3 months ago
A class of novel blind source extraction algorithms based on a linear predictor
A rigorous analysis of the performance of a blind source extraction structure based on a linear predictor is provided. It is shown that by minimising the mean square prediction er...
Wei Liu, Danilo P. Mandic, Andrzej Cichocki
CAIP
2007
Springer
117views Image Analysis» more  CAIP 2007»
15 years 3 months ago
Eigenmotion-Based Detection of Intestinal Contractions
Abstract. Intestinal contractions are one of the main features for analyzing intestinal motility and detecting different gastrointestinal pathologies. In this paper we propose Eig...
Laura Igual, Santi Seguí, Jordi Vitri&agrav...
ICA
2007
Springer
15 years 3 months ago
Subspaces of Spatially Varying Independent Components in fMRI
Abstract. In contrast to the traditional hypothesis-driven methods, independent component analysis (ICA) is commonly used in functional magnetic resonance imaging (fMRI) studies to...
Jarkko Ylipaavalniemi, Ricardo Vigário
MMDB
2004
ACM
153views Multimedia» more  MMDB 2004»
15 years 3 months ago
A PCA-based similarity measure for multivariate time series
Multivariate time series (MTS) datasets are common in various multimedia, medical and financial applications. We propose a similarity measure for MTS datasets, Eros (Extended Fro...
Kiyoung Yang, Cyrus Shahabi