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» Training of Classifiers Using Virtual Samples Only
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IVA
2010
Springer
13 years 6 months ago
Using Artificial Team Members for Team Training in Virtual Environments
In a good team, members do not only perform their individual task, they also coordinate their actions with other members of the team. Developing such team skills usually involves e...
Jurriaan van Diggelen, Tijmen Muller, Karel van de...
ICML
2008
IEEE
14 years 8 months ago
Training restricted Boltzmann machines using approximations to the likelihood gradient
A new algorithm for training Restricted Boltzmann Machines is introduced. The algorithm, named Persistent Contrastive Divergence, is different from the standard Contrastive Diverg...
Tijmen Tieleman
AAAI
2000
13 years 9 months ago
Selective Sampling with Redundant Views
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Ion Muslea, Steven Minton, Craig A. Knoblock
FGR
2004
IEEE
94views Biometrics» more  FGR 2004»
13 years 11 months ago
A Symmetric Transformation for LDA-based Face Verification
One of the major problem in face verification is to deal with a few number of images per person to train the system. A solution to that problem is to generate virtual samples from...
Sébastien Marcel
SMC
2007
IEEE
130views Control Systems» more  SMC 2007»
14 years 1 months ago
Simulation framework for training chest tube insertion using virtual reality and force feedback
—Most virtual reality simulators are designed for complex medical procedures, such as laparoscopic surgery. While important, these simulators are of use for only a subset of spec...
Nader S. Raja, John A. Schleser, William P. Norman...