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In this paper, a fuzzy pattern classification tuning approach is proposed, which is based on fusion concept. In this method, tuning parameters are learned in a training procedure, enabling system to be capable of managing individual classification task. Fuzzy c-means, as a specific instance of Tuning Reference, is employed as a tool to offer membership function which is used for making decisions and...
In maritime surveillance, supporting operatorspsila situation awareness is a very important issue for enabling the possibility to detect anomalous behaviour. We present a user study which conceptualises knowledge to be implemented in a rule-based application aiming at supporting situation awareness. Participatory observations were used as a method for extracting operatorspsila knowledge. The result...
Sensors working at different times, locations, and scales, and experts with different goals, languages, and situations, may produce apparently inconsistent image labels that are reconciled by their implicit underlying relationships. Even when such relationships are unknown to the user, an ARTMAP information fusion system discovers a hierarchical knowledge structure for a labeled dataset. The present...
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