A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of ...
Abstract-- Dataflow representations of Digital Signal Processing (DSP) software have been developing since the 1980's. They have proven to be useful in identifying bottlenecks...
Ruirui Gu, Shuvra S. Bhattacharyya, William S. Lev...
We present a detailed study of two inverse consistencies for non-binary constraints: relational path inverse consistency (rel PIC) and pairwise inverse consistency (PWIC). These ar...
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
Abstract Nowadays, most of the energy-aware real-time scheduling algorithms belong to the DVFS (Dynamic Voltage and Frequency Scaling) framework. These DVFS algorithms are usually ...