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» Pattern-Recognition: a Foundational Approach
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MCS
2005
Springer
15 years 9 months ago
Ensembles of Classifiers from Spatially Disjoint Data
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
MCS
2004
Springer
15 years 9 months ago
High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers
Recent works about perceptron-based fusion of multiple fingerprint matchers showed the effectiveness of such approach in improving the performance of personal identity verification...
Gian Luca Marcialis, Fabio Roli
CIARP
2007
Springer
15 years 5 months ago
Robust Local Localization of a Mobile Robot in Indoor Environments Using Virtual Corners
This paper deals with the problem of finding the movement of a mobile robot given two consecutive laser scans. The proposed method extracts a line map from the sequence of points ...
Carlos Lara, Leonardo Romero
INFFUS
2002
162views more  INFFUS 2002»
15 years 3 months 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
MCS
2002
Springer
15 years 3 months ago
Distributed Pasting of Small Votes
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowye...