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178
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HYBRID
2000
Springer
15 years 8 months ago
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham
ICCHP
2004
Springer
15 years 10 months ago
Multi-modal Mathematics: Conveying Math Using Synthetic Speech and Speech Recognition
Over the past decade, the notion of multi-modal access to technology has moved from the realms of science fiction to reality. It is not now unthinkable to communicate with a machi...
Donal Fitzpatrick, Arthur I. Karshmer
COLLABORATION
1999
Springer
15 years 9 months ago
Shifting the Focus from Control to Communication: the STReams OBjects Environments Model of Communicating Agents
The paper presents the computational model underlying new agent communication languages. The model, called STROBE, has been identified and two prototypical languages inspired by th...
Stefano A. Cerri
NIPS
2004
15 years 6 months ago
Surface Reconstruction using Learned Shape Models
We consider the problem of geometrical surface reconstruction from one or several images using learned shape models. While humans can effortlessly retrieve 3D shape information, t...
Jan Erik Solem, Fredrik Kahl
176
Voted
ICRA
2006
IEEE
104views Robotics» more  ICRA 2006»
15 years 11 months ago
Implicit Coordination in Robotic Teams using Learned Prediction Models
— Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
Freek Stulp, Michael Isik, Michael Beetz