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» Activity Modeling Using Event Probability Sequences
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TITB
2010
95views Education» more  TITB 2010»
14 years 9 months ago
Sleep staging based on signals acquired through bed sensor
We describe a system for the evaluation of the sleep macrostructure on the basis of Emfit sensor foils placed into bed mattress and of advanced signal processing. The signals on wh...
Juha M. Kortelainen, Martin O. Mendez, Anna M. Bia...
PR
2008
218views more  PR 2008»
15 years 2 months ago
Automatic feature localisation with constrained local models
We present an efficient and robust method of locating a set of feature points in an object of interest. From a training set we construct a joint model of the appearance of each fe...
David Cristinacce, Timothy F. Cootes
NIPS
2004
15 years 4 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
MVA
2007
179views Computer Vision» more  MVA 2007»
15 years 2 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
158
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MINENET
2006
ACM
15 years 9 months ago
Diagnosis of TCP overlay connection failures using bayesian networks
When failures occur in Internet overlay connections today, it is difficult for users to determine the root cause of failure. An overlay connection may require TCP connections bet...
George J. Lee, Lindsey Poole