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ICSNC
2007
IEEE
15 years 7 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
CVPR
2005
IEEE
16 years 2 months ago
Bayesian Super-Resolution of Text in Video with a Text-Specific Bimodal Prior
To increase the range of sizes of video scene text recognizable by optical character recognition (OCR), we developed a Bayesian super-resolution algorithm that uses a text-specifi...
Katherine Donaldson, Gregory K. Myers
106
Voted
ICRA
2005
IEEE
176views Robotics» more  ICRA 2005»
15 years 6 months ago
Auto-supervised learning in the Bayesian Programming Framework
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
Pierre Dangauthier, Pierre Bessière, Anne S...
104
Voted
ICA
2004
Springer
15 years 6 months ago
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
Alexander Ilin, Antti Honkela
121
Voted
ICANN
2001
Springer
15 years 5 months ago
The Bayesian Committee Support Vector Machine
Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the...
Anton Schwaighofer, Volker Tresp