A New Incomplete Pattern Classification Method Based on Evidential Reasoning

The classification of incomplete patterns is a very challenging task because the object (incomplete pattern) with different possible estimations of missing values may yield distinct classification results. The uncertainty (ambiguity) of classification is mainly caused by the lack of information of t...

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Veröffentlicht in:	IEEE transactions on cybernetics 2015-04, Vol.45 (4), p.635-646
Hauptverfasser:	Zhun-Ga Liu, Quan Pan, Mercier, Gregoire, Dezert, Jean
Format:	Artikel
Sprache:	eng
Schlagworte:	Belief functions Cognition credal classification Engineering Sciences Estimation evidential reasoning incomplete pattern missing data Prototypes Signal and Image processing Training Training data Uncertainty
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