We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Much of recent action recognition research is based on
space-time interest points extracted from video using a Bag
of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
Abstract. In this paper, we propose a novel heuristic algorithm for constructing a minimum cost multicast tree. Our work is based on a directed asymmetric network and shows an impr...
Abstract--Positioning in indoor wireless environments is growing rapidly in importance and gains commercial interests in context-awareness applications. The essential challenge in ...
In active learning based music retrieval systems, providing multiple samples to the user for feedback is very necessary. In this paper, we present a new multi-samples selection st...