dc.contributor.author |
Raptis, S |
en |
dc.contributor.author |
Tzafestas, S |
en |
dc.date.accessioned |
2014-03-01T02:48:58Z |
|
dc.date.available |
2014-03-01T02:48:58Z |
|
dc.date.issued |
2000 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/34169 |
|
dc.subject |
Conceptual Framework |
en |
dc.subject |
Fuzzy Logic |
en |
dc.subject |
Image Features |
en |
dc.subject |
Information Processing |
en |
dc.subject |
Object Recognition |
en |
dc.subject |
Pattern Recognition |
en |
dc.title |
Fuzzy-probabilistic object recognition based on edge and texture descriptors fusion |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/ICSMC.2000.886254 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/ICSMC.2000.886254 |
en |
heal.publicationDate |
2000 |
en |
heal.abstract |
A great deal of research effort has been devoted to information processing in pattern recognition. It has been established that when it comes to making decisions upon the perceptual content of the information there is no case-independent and commonly approved technique. This is in part due to the complexity of the real world information to the measurements' ambiguity or the |
en |
heal.journalName |
IEEE International Conference on Systems, Man, and Cybernetics |
en |
dc.identifier.doi |
10.1109/ICSMC.2000.886254 |
en |