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ICA
2010
Springer
15 years 6 months ago
Time Series Causality Inference Using Echo State Networks
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-...
Norbert Michael Mayer, Oliver Obst, Chang Yu-Chen
ICIP
2007
IEEE
16 years 1 months ago
Using a Markov Network to Recognize People in Consumer Images
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 ...
Andrew C. Gallagher, Tsuhan Chen
ICASSP
2011
IEEE
14 years 11 months ago
Distributed routing in networks using affinity propagation
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...
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IPPS
2002
IEEE
16 years 11 days ago
Observations on Client-Server and Mobile Agent Paradigms for Resource Allocation
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...
Mohamed Bakhouya, Jaafar Gaber, Abder Koukam
COMPCON
1996
IEEE
15 years 11 months ago
Architecture of a Broadband MediaProcessor
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...
Craig Hansen