Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
Over the past few years, a number of approximate inference algorithms for networked data have been put forth. We empirically compare the performance of three of the popular algori...
The aim of this work is to study the implementation feasibility of a VLS (Virtual Lambda Sensor) by a TSK (Takagi, Sugeno, Kang) singleton FIS (Fuzzy Inference System). Such a sen...
Paolo Amato, Nicola Cesario, M. Di Meglio, Frances...
We propose two methods to passively measure and monitor changes in round-trip times (RTTs) throughout the lifetime of a TCP connection. Our first method associates data segments w...
Knowledge ‘decay’ is a measure of the degradation of knowledge integrity. In a unified knowledge representation, data, information and knowledge are all represented in a single...