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» Learning for Sequence Extraction Tasks
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ICML
1999
IEEE
14 years 2 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
CVPR
2004
IEEE
15 years 12 hour ago
3D Facial Tracking from Corrupted Movie Sequences
In this paper we perform 3D face tracking on corrupted video sequences. We use a deformable model, combined with a predictive filter, to recover both the rigid transformations and...
Siome Goldenstein, Christian Vogler, Dimitris N. M...
FLAIRS
2007
14 years 9 days ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant
INFOCOM
2009
IEEE
14 years 4 months ago
Tracking with Unreliable Node Sequences
—Tracking mobile targets using sensor networks is a challenging task because of the impacts of in-the-filed factors such as environment noise, sensing irregularity and etc. This...
Ziguo Zhong, Ting Zhu, Dan Wang, Tian He
JMLR
2008
151views more  JMLR 2008»
13 years 10 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs