211 search results - page 23 / 43 » On Spectral Learning of Mixtures of Distributions |
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
This paper proposes the fractional component analysis (FCA), whose goal is to decompose the observed signal into component signals and recover their fractions. The uniqueness of o...
89
Voted
ICA
2007
Springer
15 years 1 months ago
2007
Springer
Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixtur...
ICONIP
2004
14 years 11 months ago
2004
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
NIPS
2003
14 years 11 months ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
84
Voted
TIP
2008
14 years 9 months ago
2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...