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HASE
1998
IEEE
15 years 1 months ago
Software Component Independence
Independence is a fundamental requirement for calculating system reliability from component reliabilities, whether in hardware or software systems. Markov analysis is often used i...
Denise M. Woit, David V. Mason
CVIU
2006
209views more  CVIU 2006»
14 years 9 months ago
Joint optical flow estimation, segmentation, and 3D interpretation with level sets
This paper describes a variational method with active curve evolution and level sets for the estimation, segmentation, and 3D interpretation of optical flow generated by independe...
Hicham Sekkati, Amar Mitiche
BMCBI
2006
129views more  BMCBI 2006»
14 years 9 months ago
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials
Background: Independent Component Analysis (ICA) proves to be useful in the analysis of neural activity, as it allows for identification of distinct sources of activity. Applied t...
Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. B...
ICPR
2004
IEEE
15 years 10 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
AVBPA
1997
Springer
100views Biometrics» more  AVBPA 1997»
15 years 1 months ago
Using Gait as a Biometric, via Phase-weighted Magnitude Spectra
Gait is a biometric which is subject to increasing interest. Current approaches include modelling gait as a spatio-temporal sequence and as an articulated model. By considering leg...
David Cunado, Mark S. Nixon, John N. Carter