Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Distributed source coding (DSC) depends strongly on accurate knowledge of correlation between sources. Previous works have reported capacity-approaching code constructions when ex...
Contraflow, or lane reversal, is a way of increasing outbound capacity of a real network by reversing the direction of inbound roads during evacuations. The contraflow is consider...
Computational complexity has been the primary challenge of many VLSI CAD applications. The emerging multicore and manycore microprocessors have the potential to offer scalable perf...