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» Topology for Distributed Inference on Graphs
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145
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CORR
2004
Springer
133views Education» more  CORR 2004»
15 years 3 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
141
Voted
CVPR
2009
IEEE
16 years 10 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
125
Voted
NIPS
2008
15 years 5 months ago
Inferring rankings under constrained sensing
Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
Srikanth Jagabathula, Devavrat Shah
138
Voted
INFOCOM
2008
IEEE
15 years 10 months ago
Minimum Cost Data Aggregation with Localized Processing for Statistical Inference
—The problem of minimum cost in-network fusion of measurements, collected from distributed sensors via multihop routing is considered. A designated fusion center performs an opti...
Animashree Anandkumar, Lang Tong, Ananthram Swami,...
WIOPT
2010
IEEE
15 years 2 months ago
Hub-betweenness analysis in delay tolerant networks inferred by real traces
—In this paper we study the influence of using hub nodes to relay messages in human-based delay tolerant networks (DTNs), by analyzing empirical traces obtained by human mobilit...
Giuliano Grossi, Federico Pedersini