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» On the design of robust classifiers for computer vision
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VISAPP
2007
13 years 8 months ago
Modeling non-gaussian noise for robust image analysis
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
CVPR
2008
IEEE
13 years 9 months ago
Demosaicking recognition with applications in digital photo authentication based on a quadratic pixel correlation model
Most digital still color cameras use a single electronic sensor (CCD or CMOS) overlaid with a color filter array. At each pixel location only one color sample is taken, and the ot...
Yizhen Huang, Yangjing Long
CVPR
2009
IEEE
1356views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Average of Synthetic Exact Filters
This paper introduces a class of correlation filters called Average of Synthetic Exact Filters (ASEF). For ASEF, the correlation output is completely specified for each training ...
Bruce A. Draper, David S. Bolme, J. Ross Beveridge
ICPR
2002
IEEE
14 years 8 months ago
A Neural Architecture for Fast and Robust Face Detection
In this paper, we present a connectionist approach for detecting and precisely localizing semi-frontal human faces in complex images, making no assumption about the content or the...
Christophe Garcia, Manolis Delakis
ICCV
2007
IEEE
14 years 9 months ago
Boosting Invariance and Efficiency in Supervised Learning
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
Andrea Vedaldi, Paolo Favaro, Enrico Grisan