One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
Markov networks are an effective tool for the difficult but important problem of recognizing people in consumer image collections. Given a small set of labeled faces, we seek to ...
This paper applies affinity propagation (AP) to develop distributed solutions for routing over networks. AP is a message passing algorithm for unsupervised learning. This paper d...
Manohar Shamaiah, Sang Hyun Lee, Sriram Vishwanath...
In this paper, we analyze the performance of a mobile agent based approach for discovering and allocating resources in large scale networks. We compare this approach with the trad...
A broadband mediaprocessor is a general-purpose computer system which reaches the goal of communicating and processing at broadband rates using compiled software rather than speci...