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ICASSP
2010
IEEE
15 years 4 months ago
An online quasi-Newton algorithm for blind SIMO identification
In the last decade various time- and frequency-domain algorithms were derived to blindly identify acoustic systems. One of these algorithms is the multichannel Newton (MCN) algori...
Emanuel A. P. Habets, Patrick A. Naylor
AUTOMATICA
2007
98views more  AUTOMATICA 2007»
15 years 4 months ago
LMI-based sensor fault diagnosis for nonlinear Lipschitz systems
The problem of sensor fault diagnosis in the class of nonlinear Lipschitz systems is considered. A dynamic observer structure is used with the objective to make the residual conve...
A. M. Pertew, H. J. Marquez, Q. Zhao
CORR
2010
Springer
145views Education» more  CORR 2010»
15 years 4 months ago
Feature Level Clustering of Large Biometric Database
This paper proposes an efficient technique for partitioning large biometric database during identification. In this technique feature vector which comprises of global and local de...
Hunny Mehrotra, Dakshina Ranjan Kisku, V. Bhawani ...
JMLR
2006
89views more  JMLR 2006»
15 years 4 months ago
Maximum-Gain Working Set Selection for SVMs
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
Tobias Glasmachers, Christian Igel
JMLR
2006
143views more  JMLR 2006»
15 years 4 months ago
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...
Régis Vert, Jean-Philippe Vert