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» Learning Low-Density Separators
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NIPS
2000
13 years 8 months ago
One Microphone Source Separation
Source separation, or computational auditory scene analysis, attempts to extract individual acoustic objects from input which contains a mixture of sounds from different sources, ...
Sam T. Roweis
ICML
2007
IEEE
14 years 8 months ago
A fast linear separability test by projection of positive points on subspaces
A geometric and non parametric procedure for testing if two nite set of points are linearly separable is proposed. The Linear Separability Test is equivalent to a test that deter...
A. P. Yogananda, M. Narasimha Murty, Lakshmi Gopal
ICML
2006
IEEE
14 years 8 months ago
Agnostic active learning
We state and analyze the first active learning algorithm which works in the presence of arbitrary forms of noise. The algorithm, A2 (for Agnostic Active), relies only upon the ass...
Maria-Florina Balcan, Alina Beygelzimer, John Lang...
ICASSP
2009
IEEE
14 years 2 months ago
Sparse source separation from orthogonal mixtures
This paper addresses source separation from a linear mixture under two assumptions: source sparsity and orthogonality of the mixing matrix. We propose efficient sparse separation...
Moshe Mishali, Yonina C. Eldar
ICMCS
2005
IEEE
75views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Separation of Voice and Music by Harmonic Structure Stability Analysis
Separation of voice and music is an interesting but difficult problem. It is useful for many other researches such as audio content analysis. In this paper, the difference betwee...
Yungang Zhang, Changshui Zhang