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» Process Diagnostics: A Method Based on Process Mining
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ACIVS
2006
Springer
16 years 21 days ago
Improvement of Conventional Deinterlacing Methods with Extrema Detection and Interpolation
Abstract. This article presents a new algorithm for spatial deinterlacing that could easily be integrated in a more complete deinterlacing system, typically a spatio-temporal motio...
Jérôme Roussel, Pascal Bertolino, Mar...
SIAMCO
2008
121views more  SIAMCO 2008»
15 years 6 months ago
A Direct Solution Method for Stochastic Impulse Control Problems of One-dimensional Diffusions
We consider stochastic impulse control problems where the process is driven by one-dimensional diffusions. Impulse control problems are widely applied to financial engineering and...
Masahiko Egami
MEMETIC
2010
311views more  MEMETIC 2010»
15 years 1 months ago
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization
In combinatorial solution spaces Iterated Local Search (ILS) turns out to be exceptionally successful. The question arises: is ILS also capable of improving the optimization proces...
Oliver Kramer
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICCV
2001
IEEE
16 years 8 months ago
A Versatile Method for Trifocal Tensor Estimation
Reliable estimation of the trifocal tensor is crucial for 3D reconstruction from uncalibrated cameras. The estimation process is based on minimizing the geometric distances betwee...
Bogdan Matei, Bogdan Georgescu, Peter Meer