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ICASSP
2009
IEEE
14 years 10 days ago
Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
Alexey Ozerov, Cédric Févotte
ISSAC
2009
Springer
150views Mathematics» more  ISSAC 2009»
14 years 3 months ago
On finding multiplicities of characteristic polynomial factors of black-box matrices
We present algorithms and heuristics to compute the characteristic polynomial of a matrix given its minimal polynomial. The matrix is represented as a black-box, i.e., by a functi...
Jean-Guillaume Dumas, Clément Pernet, B. Da...
CVPR
2000
IEEE
14 years 10 months ago
A Robust and Efficient Motion Segmentation Based on Orthogonal Projection Matrix of Shape Space
A novel algorithm for motion segmentation is proposed. The algorithm uses the fact that shape of an object with homogeneous motion is represented as 4 dimensional linear space. Th...
Naoyuki Ichimura
ICASSP
2011
IEEE
13 years 6 days ago
Music algorithm to localize sources with unknown directivity in acoustic imaging
The Multiple Signal Classification (MUSIC) algorithm for acoustic imaging most commonly assumes that all sources have undirectional radiation pattern. We here propose a modifica...
Forooz Shahbazi Avarvand, Andreas Ziehe, Guido Nol...
SLSFS
2005
Springer
14 years 1 months ago
Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
Amit Gruber, Yair Weiss