1765 search results - page 15 / 353 » Combinations of Weak Classifiers |
AVBPA
2003
Springer
14 years 7 days ago
2003
Springer
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
ICDAR
2003
IEEE
14 years 1 months ago
2003
IEEE
For combining classifiers at measurement level, the diverse outputs of classifiers should be transformed to uniform measures that represent the confidence of decision, hopefully, ...
MCS
2000
Springer
14 years 5 days ago
2000
Springer
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
FLAIRS
2000
13 years 10 months ago
2000
The design of an optimal Bayesian classifier for multiple features is dependent on the estimation of multidimensional joint probability density functions and therefore requires a ...
MCS
2001
Springer
14 years 1 months ago
2001
Springer
In this paper, the error-reject trade-off of linearly combined multiple classifiers is analysed in the framework of the minimum risk theory. Theoretical analysis described in [12,1...