69 search results - page 13 / 14 » Dictionary learning of convolved signals |
JMLR
2010
14 years 8 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
ICASSP
2007
IEEE
15 years 4 months ago
2007
IEEE
Alterations in the number of DNA copies are very common in tumor cells and may have a very important role in cancer development and progression. New array platforms provide means ...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
We present a data-driven framework for expanding the lexicon to improve Mandarin broadcast news and conversation speech recognition. The lexicon expansion includes the generation ...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
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...
84
Voted
TSD
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. The orthography of many resource-scarce languages includes diacritically marked characters. Falling outside the scope of the standard Latin encoding, these characters are...