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» Probabilistic Neural Network Models for Sequential Data
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NIPS
1994
13 years 9 months ago
Using a neural net to instantiate a deformable model
Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
Christopher K. I. Williams, Michael Revow, Geoffre...
IJCNN
2000
IEEE
14 years 16 days ago
Recursive Non Linear Models for On Line Traffic Prediction of VBR MPEG Coded Video Sources
Any performance evaluation of broadband networks requires modeling of the actual network traffic. Since multimedia services and especially MPEG coded video streams are expected to...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
ICPR
2000
IEEE
14 years 16 days ago
Simultaneous Tracking of Head Poses in a Panoramic View
In this paper we present an approach to simultaneously estimate gaze directions of multiple people in the view of a panoramic camera. Human faces are located and tracked using a p...
Rainer Stiefelhagen, Jie Yang, Alex Waibel
NN
2006
Springer
13 years 8 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
IJCNN
2008
IEEE
14 years 2 months ago
A network model of rational versus irrational choices on a probability maximization task
─Humans have a drive to maximize knowledge of the world, yet decision making data also suggest a contrary drive to minimize cognitive effort using simplifying heuristics. The tra...
Daniel S. Levine, Leonid I. Perlovsky