298 search results - page 1 / 60 » Analysis of a Fusion Method for Combining Marginal Classifie... |
MCS
2000
Springer
14 years 2 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
14 years 15 days 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
14 years 5 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
15 years 47 min 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
14 years 3 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...