We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Currently, Internet hosting centers and content distribution networks leverage statistical multiplexing to meet the performance requirements of a number of competing hosted networ...
Abstract—Multicast-based network tomography enables inference of average loss rates and delay distributions of internal network links from end-to-end measurements of multicast pr...
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Virtual Private Networks (VPNs) feature notable characteristics in structure and traffic patterns that allow for efficient resource allocation. A strategy that exploits the underl...
Satish Raghunath, Shivkumar Kalyanaraman, K. K. Ra...