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» Bayesian network based sentence retrieval model
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ICCV
2003
IEEE
16 years 5 months ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang
118
Voted
ICMCS
2005
IEEE
99views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Segmentation of 3D Objects Using Pulse-Coupled Oscillator Networks
Along with image and video libraries, archives of 3D models have recently gained increasing attention. Accordingly, there is an increasing demand for solutions enabling retrieval ...
Eva Ceccarelli, Alberto Del Bimbo, Pietro Pala
165
Voted
BMCBI
2010
178views more  BMCBI 2010»
15 years 3 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
ICC
2007
IEEE
104views Communications» more  ICC 2007»
15 years 9 months ago
Secure Tracking in Sensor Networks
Abstract— Target tracking is a canonical issue in sensor networks research. However, tracking security has gained little or no attention. Once a sensor node is compromised, it wi...
Chih-Chieh Geoff Chang, Wesley E. Snyder, Cliff Wa...
ANLP
1997
106views more  ANLP 1997»
15 years 4 months ago
Incremental Finite-State Parsing
This paper describes a new finite-state shallow parser. It merges constructive and reductionist approaches within a highly modular architecture. Syntactic information is added at ...
Salah Ait-Mokhtar, Jean-Pierre Chanod