— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Our objective is transfer training of a discriminatively trained object category detector, in order to reduce the number of training images required. To this end we propose three ...
Oblivious polynomial evaluation is a protocol involving two parties, a sender whose input is a polynomial P, and a receiver whose input is a value α. At the end of the protocol t...
Adaptive learning systems are recognized as one of the most interesting research topics in intelligent learning management systems. Taking as a point of departure the practices an...
In this paper, we introduce MaDcAr, a model of engines for dynamic and automatic (re)assembling of component-based software. In MaDcAr, an application description consists of the d...