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AAAI
2011
14 years 14 days ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
131
Voted
CIDM
2007
IEEE
15 years 6 months ago
Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems
–The OBSERVER is a video surveillance system that detects and predicts abnormal behaviors aiming at the intelligent surveillance concept. The system acquires color images from a ...
Duarte Duque, Henrique Santos, Paulo Cortez
126
Voted
JIRS
2008
100views more  JIRS 2008»
15 years 13 days ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
VLSID
2001
IEEE
129views VLSI» more  VLSID 2001»
16 years 25 days ago
Power-aware Multimedia Systems using Run-time Prediction
The need for low-power multimedia processing is integral to portable and embedded devices such as cell phones, wireless terminals, multimedia handhelds and PDAs. The multimedia pr...
Pavan Kumar, Mani B. Srivastava
95
Voted
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
15 years 7 months ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...