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ICML
2008
IEEE
14 years 8 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
PRL
2008
137views more  PRL 2008»
13 years 7 months ago
On-line handwritten digit recognition based on trajectory and velocity modeling
The handwriting is one of the most familiar communication media. Pen based interface combined with automatic handwriting recognition offers a very easy and natural input method. T...
Monji Kherallah, Lobna Haddad, Adel M. Alimi, Amar...
JFR
2006
108views more  JFR 2006»
13 years 7 months ago
Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...
RTAS
2008
IEEE
14 years 2 months ago
Optimizing the Implementation of Communication in Synchronous Reactive Models
A fundamental asset of a model-based development process is the capability of providing an automatic implementation of the model that preserves its semantics and, at the same time...
Marco Di Natale, Guoqiang Wang, Alberto L. Sangiov...
SIGGRAPH
1998
ACM
14 years 4 days ago
A Multiscale Model of Adaptation and Spatial Vision for Realistic Image Display
In this paper we develop a computational model of adaptation and spatial vision for realistic tone reproduction. The model is based on a multiscale representation of pattern, lumi...
Sumanta N. Pattanaik, James A. Ferwerda, Mark D. F...