780 search results - page 2 / 156 » Learning Low-Density Separators |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the e...
ICA
2012
Springer
12 years 1 months ago
2012
Springer
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
CVPR
2012
IEEE
11 years 8 months ago
2012
IEEE
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...
ALT
2007
Springer
14 years 7 days ago
2007
Springer
AAAI
2010
13 years 7 months ago
2010
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...