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ICIP
2003
IEEE
16 years 2 months ago
An integrated algorithm of incremental and robust PCA
Principal Component Analysis (PCA) is a well-established technique in image processing and pattern recognition. Incremental PCA and robust PCA are two interesting problems with nu...
Yongmin Li Li, Li-Qun Xu, Jason Morphett, Richard ...
116
Voted
MVA
2002
195views Computer Vision» more  MVA 2002»
15 years 8 days ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee
133
Voted
TITS
2011
165views more  TITS 2011»
14 years 7 months ago
Robust Inference of Principal Road Paths for Intelligent Transportation Systems
Abstract—Over the last few years, electronic vehicle guidance systems have become increasingly more popular. However, despite their ubiquity, performance will always be subject t...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...
CVPR
2007
IEEE
16 years 2 months ago
Robust Local Features and their Application in Self-Calibration and Object Recognition on Embedded Systems
In recent years many powerful Computer Vision algorithms have been invented, making automatic or semiautomatic solutions to many popular vision tasks, such as visual object recogn...
Clemens Arth, Christian Leistner, Horst Bischof
STACS
2009
Springer
15 years 7 months ago
Randomness on Computable Probability Spaces - A Dynamical Point of View
We extend the notion of randomness (in the version introduced by Schnorr) to computable Probability Spaces and compare it to a dynamical notion of randomness: typicality. Roughly, ...
Péter Gács, Mathieu Hoyrup, Cristoba...