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» Robust Induction of Process Models from Time-Series Data
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DAGM
2009
Springer
13 years 5 months ago
Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning
Abstract. Guided Kanade-Lucas-Tomasi (GKLT) tracking is a suitable way to incorporate knowledge about camera parameters into the standard KLT tracking approach for feature tracking...
Michael Trummer, Christoph Munkelt, Joachim Denzle...
ICIP
2005
IEEE
14 years 9 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
ICASSP
2011
IEEE
12 years 11 months ago
Basis pursuit for spectrum cartography
A nonparametric version of the basis pursuit method is developed for field estimation. The underlying model entails known bases, weighted by generic functions to be estimated fro...
Juan Andrés Bazerque, Gonzalo Mateos, Georg...
IMC
2004
ACM
14 years 25 days ago
A pragmatic approach to dealing with high-variability in network measurements
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of inferred router-level connectivity, but there still exists considerable debate ...
Walter Willinger, David Alderson, Lun Li
ASM
2000
ASM
13 years 11 months ago
Report on a Practical Application of ASMs in Software Design
ASMs have been used at Siemens Corporate Technology to design a component in a software package called FALKO. Main purpose of FALKO is the construction and validation of timetables...
Egon Börger, Peter Päppinghaus, Joachim ...