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» Computer Vision: Algorithms and Applications
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139
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CVPR
2010
IEEE
15 years 16 days ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel
108
Voted
ECCV
2010
Springer
15 years 4 months ago
Towards More Efficient and Effective LP-based algorithms for MRF Optimization
This paper proposes a framework that provides significant speed-ups and also improves the effectiveness of general message passing algorithms based on dual LP relaxations. It is ap...
BMVC
2001
15 years 4 months ago
A Case Study in the use of ROC curves for Algorithm Design
We describe the development of a vision system to detect natural events in a low-resolution image stream. The work involves the assessment of algorithmic design decisions to maxim...
Paul A. Bromiley, Patrick Courtney, Neil A. Thacke...
ICPR
2010
IEEE
15 years 1 months ago
An Exploration Scheme for Large Images: Application to Breast Cancer Grading
—Most research works focus on pattern recognition within a small sample images but strategies for running efficiently these algorithms over large images are rarely if ever speci...
Antoine Veillard, Nicolas Lomenie, Daniel Racocean...
ECCV
2008
Springer
16 years 4 months ago
SERBoost: Semi-supervised Boosting with Expectation Regularization
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Amir Saffari, Helmut Grabner, Horst Bischof