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» Robust background modeling via standard variance feature
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CVPR
2010
IEEE
13 years 10 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
FGR
2002
IEEE
212views Biometrics» more  FGR 2002»
13 years 11 months ago
Motion-Based Recognition of People in EigenGait Space
A motion-based, correspondence-free technique for human gait recognition in monocular video is presented. We contend that the planar dynamics of a walking person are encoded in a ...
Chiraz BenAbdelkader, Larry S. Davis, Ross Cutler
ICCV
1999
IEEE
14 years 8 months ago
Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields
In this paper we address the problem of estimating and analyzing the motion in image sequences that involve fluid phenomena. In this context standard motion estimation techniques ...
Étienne Mémin, Patrick Pérez
CONTEXT
2005
Springer
14 years 3 days ago
Contextual Modals
In a series of recent articles Angelika Kratzer has argued that the standard account of modality along Kripkean lines is inadequate in order to represent context-dependent modals. ...
Horacio L. Arló-Costa, William Taysom
BMCBI
2007
108views more  BMCBI 2007»
13 years 6 months ago
Design and implementation of a generalized laboratory data model
Background: Investigators in the biological sciences continue to exploit laboratory automation methods and have dramatically increased the rates at which they can generate data. I...
Michael C. Wendl, Scott Smith, Craig S. Pohl, Davi...