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CVPR
2010
IEEE
13 years 11 months ago
The Phase Only Transform for unsupervised surface defect detection
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...
Dror Aiger, Hugues Talbot
CCE
2006
13 years 10 months ago
New approaches for representing, analyzing and visualizing complex kinetic transformations
Complex kinetic mechanisms involving thousands of reacting species and tens of thousands of reactions are currently required for the rational analysis of modern combustion systems...
Ioannis P. Androulakis
ACNS
2004
Springer
106views Cryptology» more  ACNS 2004»
14 years 3 months ago
On the Security of Cryptosystems with All-or-Nothing Transform
We study the data privacy of cryptosystems with All-or-Nothing transform (AONT). An AONT is an efficient computable transform with two properties: Given all the bits of its output...
Rui Zhang 0002, Goichiro Hanaoka, Hideki Imai
ECCV
2006
Springer
15 years 2 days ago
A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
Jingyu Yan, Marc Pollefeys
SIGIR
2006
ACM
14 years 4 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi