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PRL
2010
209views more  PRL 2010»
15 years 2 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
197
Voted
TSP
2010
15 years 2 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...
210
Voted
CDC
2009
IEEE
119views Control Systems» more  CDC 2009»
16 years 6 days 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
188
Voted
CORR
2006
Springer
83views Education» more  CORR 2006»
15 years 7 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»
15 years 7 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