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STOC
2003
ACM
122views Algorithms» more  STOC 2003»
16 years 2 months ago
Learning juntas
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
CDC
2008
IEEE
15 years 8 months ago
Strong solutions and maximal solutions of generalized algebraic Riccati equations
— In this paper, we present a comparison theorem for the solutions of two generalized algebraic Riccati equations (GAREs) coming from two different systems. We show that the so-c...
Xin Xin
ICASSP
2008
IEEE
15 years 8 months ago
Singer melody extraction in polyphonic signals using source separation methods
We propose a new approach for singer melody extraction, based on blind source separation techniques. The short time Fourier transform (STFT) of the singer signal is modelled by a ...
Jean-Louis Durrieu, Gaël Richard, Bertrand Da...
IJCNN
2008
IEEE
15 years 8 months ago
Sparse support vector machines trained in the reduced empirical feature space
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
Kazuki Iwamura, Shigeo Abe
DATE
2007
IEEE
92views Hardware» more  DATE 2007»
15 years 8 months ago
Random sampling of moment graph: a stochastic Krylov-reduction algorithm
In this paper we introduce a new algorithm for model order reduction in the presence of parameter or process variation. Our analysis is performed using a graph interpretation of t...
Zhenhai Zhu, Joel R. Phillips