43 search results - page 5 / 9 » Boosting Gaussian mixture models via discriminant analysis |
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
NOLISP
2005
Springer
14 years 29 days ago
2005
Springer
Feature projection by non-linear discriminant analysis (NLDA) can substantially increase classification performance. In automatic speech recognition (ASR) the projection provided b...