The paper proposes a new approach to classification and recognition problems which takes into account the measurement uncertainty affecting input data for improving the overall reliability of such kind of processes. The proposed method is based on an effective probabilistic approach for the evaluation of the confidence level of system outputs and the suitable use of such information for improving the performance in terms of correct decision. © Springer International Publishing Switzerland 2015.
The use of uncertainty for improving the reliability of classification in face based recognition algorithms
BETTA, GIOVANNI;CAPRIGLIONE, DOMENICO;CORVINO, MARIELLA;LIGUORI, CONSOLATINA;PAOLILLO, Alfredo;SOMMELLA, PAOLO
2015-01-01
Abstract
The paper proposes a new approach to classification and recognition problems which takes into account the measurement uncertainty affecting input data for improving the overall reliability of such kind of processes. The proposed method is based on an effective probabilistic approach for the evaluation of the confidence level of system outputs and the suitable use of such information for improving the performance in terms of correct decision. © Springer International Publishing Switzerland 2015.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
