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147
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NIPS
1998
15 years 4 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
131
Voted
PAA
2008
15 years 3 months ago
Human action recognition in videos based on the Transferable Belief Model
Abstract This paper focuses on human behavior recognition where the main problem is to bridge the semantic gap between the analogue observations of the real world and the symbolic ...
Emmanuel Ramasso, Costas Panagiotakis, Denis Pelle...
110
Voted
DSN
2002
IEEE
15 years 8 months ago
Evaluation of the Maximum Level Reached by a Queue Over a Finite Period
This paper deals with the performance analysis of a system modeled by a queue. If we are interested in occupation problems and if we look at the transient phase, then it makes sen...
Gerardo Rubino
149
Voted
INTERNET
2002
142views more  INTERNET 2002»
15 years 3 months ago
Mapping the Gnutella Network
Despite recent excitement generated by the peer-to-peer (P2P) paradigm and the surprisingly rapid deployment of some P2P applications, there are few quantitative evaluations of P2...
Matei Ripeanu, Adriana Iamnitchi, Ian T. Foster
137
Voted
TPDS
2010
143views more  TPDS 2010»
15 years 1 months ago
FIT: A Flexible, Lightweight, and Real-Time Scheduling System for Wireless Sensor Platforms
—We propose FIT, a flexible, lightweight, and real-time scheduling system for wireless sensor platforms. There are three salient features of FIT. First, its two-tier hierarchical...
Wei Dong, Chun Chen, Xue Liu, Kougen Zheng, Rui Ch...