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ICIP
2004
IEEE
14 years 9 months ago
Decomposition of range images using markov random fields
This paper describes a computational model for deriving a decomposition of objects from laser rangefinder data. The process aims to produce a set of parts defined by compactness a...
Andreas Pichler, Robert B. Fisher, Markus Vincze
ICPR
2002
IEEE
14 years 9 months ago
The Combining Classifier: To Train or Not to Train?
When more than a single classifier has been trained for the same recognition problem the question arises how this set of classifiers may be combined into a final decision rule. Se...
Robert P. W. Duin
ISBI
2004
IEEE
14 years 8 months ago
Performance-Based Multi-Classifier Decision Fusion for Atlas-Based Segmentation of Biomedical Images
Combinations of multiple classifiers have been found to be consistently more accurate than a single classifier. The construction of multiple independent classifiers, however, is t...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...
SIGMOD
2002
ACM
134views Database» more  SIGMOD 2002»
14 years 8 months ago
Data Modelling versus Ontology Engineering
Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. Unlike data models, the fundamental asset of ontologies is the...
Peter Spyns, Robert Meersman, Mustafa Jarrar
GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
14 years 2 months ago
MILCS: a mutual information learning classifier system
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
Robert Elliott Smith, Max Kun Jiang