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» Combining Methods for Dynamic Multiple Classifier Systems
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EUSFLAT
2009
125views Fuzzy Logic» more  EUSFLAT 2009»
14 years 10 months ago
A Dynamic Classification Method for the Discrimination of Evolving Data
Classes issued of evolving systems are dynamic and their characteristics vary over the time. Assigning a pattern to a class is achieved using a classifier. Therefore, the classifie...
Laurent Hartert, Moamar Sayed Mouchaweh, Patrice B...
115
Voted
CVPR
2007
IEEE
16 years 2 months ago
Capturing People in Surveillance Video
This paper presents reliable techniques for detecting, tracking, and storing keyframes of people in surveillance video. The first component of our system is a novel face detector ...
Rogerio Feris, Ying-li Tian, Arun Hampapur
108
Voted
INFFUS
2002
162views more  INFFUS 2002»
15 years 3 days ago
Fusion of multiple classifiers
The security of computer networks plays a strategic role in modern computer systems. In order to enforce high protection levels against threats, a number of software tools have be...
Fabio Roli, Josef Kittler
101
Voted
NAACL
2007
15 years 1 months ago
Combining Outputs from Multiple Machine Translation Systems
Currently there are several approaches to machine translation (MT) based on different paradigms; e.g., phrasal, hierarchical and syntax-based. These three approaches yield similar...
Antti-Veikko I. Rosti, Necip Fazil Ayan, Bing Xian...
FUIN
2002
132views more  FUIN 2002»
15 years 6 days ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna