Paper Info
Title
Networks Of Compound Object Comparators
Abstract
We discuss the theoretical background and some practical implementations of multilayered networks of units, which compare compound objects for the purposes of their identification, matching and parsing. We show how our approach arises from the previous research on fuzzy comparators. We also show in what sense the flow of information in the considered networks follows the principles of rough mereology. Finally, we present some case studies of utilization of networks of comparators in the image and text processing.
Year
DOI
Venue
2013
10.1109/FUZZ-IEEE.2013.6622547
2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013)
Keywords
Field
DocType
Compound Objects, Fuzzy Comparators, Networks of Comparators, Rough Mereology
Information flow (information theory),Computer science,Fuzzy logic,Mereology,Image processing,Fuzzy set,Theoretical computer science,Artificial intelligence,Parsing,Machine learning,Cognitive neuroscience of visual object recognition,Text processing
Conference
ISSN
Citations 
PageRank 
1098-7584
2
0.40
References 
Authors
0
2
Name
Order
Citations
PageRank
Łukasz Sosnowski1386.27
Dominik Ślęzak255350.04