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ICML
2009
IEEE
15 years 6 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
ACIVS
2009
Springer
15 years 6 months ago
Multiple Human Tracking in High-Density Crowds
Abstract. In this paper, we present a fully automatic approach to multiple human detection and tracking in high density crowds in the presence of extreme occlusion. Human detection...
Irshad Ali, Matthew N. Dailey
FGR
2008
IEEE
175views Biometrics» more  FGR 2008»
15 years 6 months ago
Real-time 3D pointing gesture recognition in mobile space
In this paper, we present a real-time 3D pointing gesture recognition algorithm for natural human-robot interaction (HRI). The recognition errors in previous pointing gesture reco...
Chang-Beom Park, Myung-Cheol Roh, Seong-Whan Lee
ICRA
2006
IEEE
138views Robotics» more  ICRA 2006»
15 years 5 months ago
Evaluation of Algorithms for bearing-only SLAM
— An important milestone for building affordable robots that can become widely popular is to address robustly the Simultaneous Localization and Mapping (SLAM) problem with inexpe...
Kostas E. Bekris, Max Glick, Lydia E. Kavraki
ICANN
2009
Springer
15 years 4 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber