102 search results - page 1 / 21 » Information theoretic combination of pattern classifiers |
PR
2010
13 years 3 months ago
2010
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
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...
MCS
2002
Springer
13 years 4 months ago
2002
Springer
So far few theoretical works investigated the conditions under which specific fusion rules can work well, and a unifying framework for comparing rules of different complexity is cl...
MCS
2002
Springer
13 years 4 months ago
2002
Springer
In classifier combining, one tries to fuse the information that is given by a set of base classifiers. In such a process, one of the difficulties is how to deal with the variabilit...