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» Probabilistic Neural Network Models for Sequential Data
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115
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ICCV
2007
IEEE
16 years 4 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
117
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Local Support Vector Regression for Financial Time Series Prediction
— We consider the regression problem for financial time series. Typically, financial time series are non-stationary and volatile in nature. Because of its good generalization p...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
131
Voted
KES
2005
Springer
15 years 8 months ago
Fuzzy Logic and Neuro-fuzzy Modelling of Diesel Spray Penetration
: The aim of this study was to demonstrate the effectiveness of an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of diesel spray penetration length in the cylind...
Shaun H. Lee, Robert J. Howlett, Simon D. Walters,...
152
Voted
JMLR
2010
162views more  JMLR 2010»
14 years 9 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
116
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Odor Recognition with Synchronization using Integrate and Fire Neurons
— We constructed a new model of an olfactory system with expanded integrate and fire neurons to explore its behaviors with external inputs. The model is built in according to th...
Xiaobin Lin, Philippe De Wilde