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CVPR
2009
IEEE
16 years 11 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...
CORR
2007
Springer
87views Education» more  CORR 2007»
15 years 4 months ago
Detection of Gauss-Markov Random Fields with Nearest-Neighbor Dependency
Abstract—The problem of hypothesis testing against independence for a Gauss–Markov random field (GMRF) is analyzed. Assuming an acyclic dependency graph, an expression for the...
Animashree Anandkumar, Lang Tong, Ananthram Swami
CISS
2007
IEEE
15 years 8 months ago
Energy Efficient Routing for Statistical Inference of Markov Random Fields
The problem of routing of sensor observations for optimal detection of a Markov random field (MRF) at a designated fusion center is analyzed. Assuming that the correlation structur...
Animashree Anandkumar, Lang Tong, Ananthram Swami
INFOCOM
2012
IEEE
13 years 6 months ago
Memory-assisted universal compression of network flows
—Recently, the existence of considerable amount of redundancy in the Internet traffic has stimulated the deployment of several redundancy elimination techniques within the netwo...
Mohsen Sardari, Ahmad Beirami, Faramarz Fekri
CDC
2009
IEEE
183views Control Systems» more  CDC 2009»
15 years 7 months ago
Algorithms and stability analysis for content distribution over multiple multicast trees
Abstract— The paper investigates theoretical issues in applying the universal swarming technique to efficient content distribution. In a swarming session, a file is distributed...
Xiaoying Zheng, Chunglae Cho, Ye Xia