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CVPR
2010
IEEE
15 years 14 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
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