298 search results - page 1 / 60 » Analysis of a Fusion Method for Combining Marginal Classifie... |
MCS
2000
Springer
13 years 8 months 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 6 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
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
IPMI
2005
Springer
14 years 5 months ago
2005
Springer
Information fusion has, in the form of multiple classifier systems, long been a successful tool in pattern recognition applications. It is also becoming increasingly popular in bio...
ICDAR
2007
IEEE
13 years 8 months ago
2007
IEEE
This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that con...