5302 search results - page 31 / 1061 » Learning How to Separate |
COLT
2008
Springer
13 years 11 months ago
2008
Springer
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
IJON
2008
13 years 9 months ago
2008
We consider the problem of convolutive blind source separation of stereo mixtures. This is often tackled using frequency-domain independent component analysis (FDICA), or time-fre...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
This paper concerns the adaptation of spectrum dictionaries in audio source separation with supervised learning. Supposing that samples of the audio sources to separate are availa...
ECML
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
CORR
2004
Springer
13 years 9 months ago
2004
Springer
The conventional definition of a topological metric over a space specifies properties that must be obeyed by any measure of "how separated" two points in that space are....