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Attribute based knowledge transfer has proven very successful in visual object analysis and learning previously unseen classes. However, the common approach learns and transfers attributes without taking into consideration the embedded structure between the categories in the source set. Such information provides important cues on the intraattribute variations. We propose to capture these variations...
Information granules emerging as a result of an abstract and more condensed and global view at numeric data play an essential role in various pattern recognition pursuits. In this study, we investigate an idea of granular prototypes (representatives) and discuss their role in the realization of classification schemes. A two-stage procedure of a formation of information granules is discussed. We show...
This extended abstract presents a work in progress on improving the verification of the security requirements of Wireless Body Sensor Network (WBSN) in healthcare systems. Our investigation on this shows that most researchers are mainly using simulation to test healthcare systems. However, lack of simulation frameworks that support security, makes this method an improper technique to verify security...
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