654 search results - page 49 / 131 » TRUST-TECH based Methods for Optimization and Learning |
MLDM
1999
Springer
15 years 5 months ago
1999
Springer
In the field of pattern recognition, multiple classifier systems based on the combination of the outputs of a set of different classifiers have been proposed as a method for the de...
96
Voted
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
111
Voted
ACML
2009
Springer
15 years 7 months ago
2009
Springer
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
106
Voted
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
The enhancement of speech degraded by non-stationary interferers is a highly relevant and difficult task of many signal processing applications. We present a monaural speech enhan...
112
Voted
CPAIOR
2006
Springer
15 years 4 months ago
2006
Springer
We show that various duals that occur in optimization and constraint satisfaction can be classified as inference duals, relaxation duals, or both. We discuss linear programming, su...