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» Decision Making Using Probabilistic Inference Methods
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CVPR
2007
IEEE
16 years 4 months ago
Learning Motion Categories using both Semantic and Structural Information
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla
146
Voted
CVPR
2011
IEEE
14 years 11 months ago
Identifying Players in Broadcast Sports Videos using Conditional Random Fields
We are interested in the problem of automatic tracking and identification of players in broadcast sport videos shot with a moving camera from a medium distance. While there are m...
Wei-Lwun Lu, Jo-Anne Ting, Kevin Murphy, Jim Littl...
WILF
2005
Springer
86views Fuzzy Logic» more  WILF 2005»
15 years 8 months ago
Intelligent Track Analysis on Navy Platforms Using Soft Computing
We have developed and continue to enhance automated intelligent software that performs the tasks and decision making which now occurs by the personnel manning watch stations in the...
Robert Richards, Richard Stottler, Ben Ball, Cosku...
141
Voted
MOBICOM
2009
ACM
15 years 9 months ago
Opportunistic flooding in low-duty-cycle wireless sensor networks with unreliable links
Intended for network-wide dissemination of commands, configurations and code binaries, flooding has been investigated extensively in wireless networks. However, little work has ...
Shuo Guo, Yu Gu, Bo Jiang, Tian He
145
Voted
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 7 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...