57 search results - page 3 / 12 » Boosting Bayesian MAP Classification |
ICMCS
2009
IEEE
13 years 3 months ago
2009
IEEE
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
KES
2007
Springer
13 years 12 months ago
2007
Springer
This multidisciplinary study focuses on the application and comparison of several topology preserving mapping models upgraded with some classifier ensemble and boosting techniques ...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
Many of today's best classification results are obtained by combining the responses of a set of base classifiers to produce an answer for the query. This paper explores a nov...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
ICIP
2000
IEEE
13 years 10 months ago
2000
IEEE
This paper introduces a new classification scheme called “open-ended texture classification.” The standard approach for texture classification is to use a closed n-class cl...