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CVPR
2010
IEEE
13 years 11 months ago
On the design of robust classifiers for computer vision
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
Hamed Masnadi-Shirazi, Nuno Vasconcelos, Vijay Mah...
ICCV
2001
IEEE
14 years 8 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
ECCV
2002
Springer
14 years 8 months ago
Robust Computer Vision through Kernel Density Estimation
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
Haifeng Chen, Peter Meer
CONTEXT
2003
Springer
13 years 12 months ago
GRAVA: An Architecture Supporting Automatic Context Transitions and Its Application to Robust Computer Vision
We describe a software development approach for vision that enhances robustness by making novel use of context. Conventional approaches to most image understanding problems suffe...
Paul Robertson, Robert Laddaga
CVIU
2000
62views more  CVIU 2000»
13 years 6 months ago
Robust Computer Vision: An Interdisciplinary Challenge
Peter Meer, Charles V. Stewart, David E. Tyler