2 search results - page 1 / 1 » MICCLLR: Multiple-Instance Learning Using Class Conditional ... |
DIS
2009
Springer
13 years 11 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Recently, Multiple Background Models (M-BMs) [1, 2] have been shown to be useful in speaker verification, where the M-BMs are formed based on different Vocal Tract Lengths (VTLs)...