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This paper proposes a new approach to classification and recognition problems. It considers the measurement uncertainty affecting input data to improve the overall effectiveness of this type of process. 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 related information to improve the performance...
The paper proposes a new approach to a decision making process based on face recognition algorithms. The proposed approach is based on the use of the uncertainty on the information used in the classification process to provide suitable level of confidence to the system output. As a case study, it is applied to a specific face recognition classification algorithm, namely the one based on Linear Discrimination...
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