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PRL
2010
209views more  PRL 2010»
13 years 3 months ago
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
Jan Salmen, Marc Schlipsing, Christian Igel
TSP
2010
13 years 3 months ago
Estimating multiple frequency-hopping signal parameters via sparse linear regression
Abstract--Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating...
Daniele Angelosante, Georgios B. Giannakis, Nichol...
CDC
2009
IEEE
119views Control Systems» more  CDC 2009»
14 years 1 months ago
Linear Parameter Varying Iterative Learning Control
— In this paper an Iterative Learning Control (ILC) algorithm is proposed for a certain class of Linear Parameter Varying (LPV) systems whose dynamics change between iterations. ...
Mark Edward John Butcher, Alireza Karimi
CORR
2006
Springer
83views Education» more  CORR 2006»
13 years 9 months ago
Fast linear algebra is stable
In [12] we showed that a large class of fast recursive matrix multiplication algorithms is stable in a normwise sense, and that in fact if multiplication of n-by-n matrices can be...
James Demmel, Ioana Dumitriu, Olga Holtz
SIAMCOMP
2002
153views more  SIAMCOMP 2002»
13 years 8 months ago
A Decision Procedure for Unitary Linear Quantum Cellular Automata
Linear quantum cellular automata were introduced recently as one of the models of quantum computing. A basic postulate of quantum mechanics imposes a strong constraint on any quan...
Christoph Dürr, Miklos Santha