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pro vyhledávání: '"Senne, Kenneth D"'
Publikováno v:
IEEE Trans. Signal Process., vol. 62, no. 20, pp. 5324-5338, October 2014
A novel unified Bayesian framework for network detection is developed, under which a detection algorithm is derived based on random walks on graphs. The algorithm detects threat networks using partial observations of their activity, and is proved to
Externí odkaz:
http://arxiv.org/abs/1311.5552
Publikováno v:
IEEE Trans. Signal Process., vol. 62, no. 20, pp. 5324-5338, October 2014
Network detection is an important capability in many areas of applied research in which data can be represented as a graph of entities and relationships. Oftentimes the object of interest is a relatively small subgraph in an enormous, potentially uni
Externí odkaz:
http://arxiv.org/abs/1303.5613
Akademický článek
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Publikováno v:
2014 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 2014, p3435-3439, 5p
Autor:
Senne, Kenneth D.
Publikováno v:
Stochastics and Stochastic Reports; January 1975, Vol. 1 Issue: 1-4 p215-238, 24p