Paper Info
Title
On-Line elimination of non-relevant parts of complex objects in behavioral pattern identification
Abstract
We discuss some rough set tools for perception modelling that have been developed in our project for a system for modelling networks of classifiers for compound concepts. Such networks make it possible to recognize behavioral patterns of objects and their parts changing over time. We present a method that we call a method for on-line elimination of non-relevant parts (ENP). This method was developed for on-line elimination of complex object parts that are irrelevant for identifying a given behavioral pattern. Some results of experiments with data from the road simulator are included.
Year
DOI
Venue
2005
10.1007/11590316_116
PReMI
Keywords
Field
DocType
non-relevant part,modelling network,rough set tool,on-line elimination,compound concept,perception modelling,complex object part,behavioral pattern identification,road simulator,behavioral pattern,rough set
Information system,Behavioral pattern,Computer science,Rough set,Artificial intelligence,Perception,Perceptron,Machine learning
Conference
Volume
ISSN
ISBN
3776
0302-9743
3-540-30506-8
Citations 
PageRank 
References 
17
1.29
11
Authors
2
Name
Order
Citations
PageRank
Jan G. Bazan129122.71
Andrzej Skowron25062421.31