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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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CVPR
1999
IEEE
14 years 9 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
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...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
CVPR
2009
IEEE
15 years 2 months ago
Locally Time-Invariant models of Human Activities using Trajectories on the Grassmanian
Human activity analysis is an important problem in computer vision with applications in surveillance and summarization and indexing of consumer content. Complex human activities...
Pavan Turaga, Rama Chellappa
HYBRID
2003
Springer
14 years 26 days ago
Model Checking LTL over Controllable Linear Systems Is Decidable
Abstract. The use of algorithmic verification and synthesis tools for hybrid systems is currently limited to systems exhibiting simple continuous dynamics such as timed automata o...
Paulo Tabuada, George J. Pappas
DAGM
2008
Springer
13 years 9 months ago
Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition
Performance of speech recognition systems strongly degrades in the presence of background noise, like the driving noise in the interior of a car. We compare two different Kalman fi...
Björn Schuller, Martin Wöllmer, Tobias M...
CDC
2010
IEEE
163views Control Systems» more  CDC 2010»
13 years 2 months ago
Integrated dynamic optimization and control in reservoir engineering using locally identified linear models
Abstract-- Studies on dynamic real-time optimization (DRTO) of waterflooding strategies in petroleum reservoirs have demonstrated that there exists a large potential to improve eco...
Gijs van Essen, Amin Rezapour, Paul M. J. Van den ...