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AAAI
2011
12 years 7 months 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
AAAI
2008
13 years 10 months ago
Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...
Cédric Rose, Jamal Saboune, François...
LCTRTS
2000
Springer
13 years 11 months ago
Approximation of Worst-Case Execution Time for Preemptive Multitasking Systems
The control system of many complex mechatronic products requires for each task the Worst Case Execution Time (WCET), which is needed for the scheduler's admission tests and su...
Matteo Corti, Roberto Brega, Thomas R. Gross
CASES
2003
ACM
14 years 25 days ago
Encryption overhead in embedded systems and sensor network nodes: modeling and analysis
Recent research in sensor networks has raised issues of security for small embedded devices. Security concerns are motivated by the deployment of a large number of sensory devices...
Ramnath Venugopalan, Prasanth Ganesan, Pushkin Ped...
ICPR
2010
IEEE
13 years 10 months ago
A Reliability Assessment Paradigm for Automated Video Tracking Systems
Most existing performance evaluation methods concentrate on defining separate metrics over a wide range of conditions and generating standard benchmarking video sequences for exam...
Chung-Hao Chen, Yi Yao, Andreas Koschan, Mongi Abi...