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» Objective reduction using a feature selection technique
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CVPR
2000
IEEE
15 years 2 months ago
Adaptive Bayesian Recognition in Tracking Rigid Objects
We present a framework for tracking rigid objects based on an adaptive Bayesian recognition technique that incorporates dependencies between object features. At each frame we fin...
Yuri Boykov, Daniel P. Huttenlocher
ICIP
2005
IEEE
15 years 11 months ago
Tracking points on deformable objects with ranklets
We present a robust algorithm for point tracking on deformable objects. The key elements are the use of orientation selective rank features (ranklets), local filter adaptation and...
Fabrizio Smeraldi, Alessio Del Bue, Lourdes de Aga...
ASIACRYPT
2010
Springer
14 years 8 months ago
Random Oracles with(out) Programmability
This paper investigates the Random Oracle Model (ROM) feature known as programmability, which allows security reductions in the ROM to dynamically choose the range points of an ide...
Marc Fischlin, Anja Lehmann, Thomas Ristenpart, Th...
ICASSP
2011
IEEE
14 years 1 months ago
Using clustering comparison measures for speaker recognition
Recent results seem to cast some doubt over the assumption that improvements in fused recognition accuracy for speaker recognition systems based on different acoustic features are...
Jia Min Karen Kua, Julien Epps, Mohaddeseh Nosrati...
ICIP
2004
IEEE
15 years 11 months ago
Camera calibration without metric information using 1D objects
This paper addresses the problem of calibrating a pin-hole camera from images of 1D objects. Assuming a unit aspect ratio and zero skew, we introduce a novel and simple approach t...
Xiaochun Cao, Hassan Foroosh