1704 search results - page 151 / 341 » Learning nonlinear dynamic models |
159
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GREC
2003
Springer
15 years 8 months ago
2003
Springer
This paper presents a method of online sketchy shape recognition that can adapt to different user sketching styles. The adaptation principle is based on incremental active learning...
150
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UMUAI
1998
15 years 2 months ago
1998
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
150
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ESANN
2004
15 years 4 months ago
2004
This work is designed to contribute to a deeper understanding of the recently proposed Merging SOM (MSOM). Its context model aims at the representation of sequences, an important s...
143
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CVPR
1999
IEEE
16 years 5 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
140
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ICRA
2008
IEEE
15 years 9 months ago
2008
IEEE
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...