65 search results - page 3 / 13 » Learning Spectral Clustering, With Application To Speech Sep... |
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
ICASSP
2010
IEEE
13 years 2 months ago
2010
IEEE
The enhancement of speech degraded by non-stationary interferers is a highly relevant and difficult task of many signal processing applications. We present a monaural speech enhan...
COLT
2005
Springer
13 years 10 months ago
2005
Springer
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
JMLR
2010
12 years 11 months ago
2010
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...