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ICCV
2009
IEEE
16 years 7 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah
ISVLSI
2002
IEEE
129views VLSI» more  ISVLSI 2002»
15 years 7 months ago
Accelerating Retiming Under the Coupled-Edge Timing Model
Retiming has been shown to be a powerful technique for improving the performance of synchronous circuits. However, even though retiming algorithms of polynomial time complexity ha...
Ingmar Neumann, Kolja Sulimma, Wolfgang Kunz
121
Voted
IPPS
1998
IEEE
15 years 6 months ago
Predicting the Running Times of Parallel Programs by Simulation
Predicting the running time of a parallel program is useful for determining the optimal values for the parameters of the implementation and the optimal mapping of data on processo...
Radu Rugina, Klaus E. Schauser
124
Voted
ECCV
2006
Springer
16 years 4 months ago
Robust Multi-body Motion Tracking Using Commute Time Clustering
Abstract. The presence of noise renders the classical factorization method almost impractical for real-world multi-body motion tracking problems. The main problem stems from the ef...
Huaijun Qiu, Edwin R. Hancock
114
Voted
EUROGRAPHICS
2010
Eurographics
15 years 11 months ago
Reinterpretable Imager: Towards Variable Post-Capture Space, Angle and Time Resolution in Photography
We describe a novel multiplexing approach to achieve tradeoffs in space, angle and time resolution in photography. We explore the problem of mapping useful subsets of time-varying...
Amit Agrawal, Ashok Veeraraghavan, Ramesh Raskar