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» Blur kernel estimation using the Radon Transform
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ICML
2009
IEEE
14 years 8 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
ICIP
2006
IEEE
14 years 9 months ago
Outlier Robust and Edge-Preserving Simultaneous Super-Resolution
In this work, we propose a new robust and edge-preserving superresolution algorithm to simultaneously estimate all frames of a sequence. The new algorithm is based on the regulari...
Joceli Mayer, Marcelo Victor Wüst Zibetti
ICANN
2001
Springer
13 years 11 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc
FINTAL
2006
13 years 11 months ago
Incorporating External Information in Bayesian Classifiers Via Linear Feature Transformations
Naive Bayes classifier is a frequently used method in various natural language processing tasks. Inspired by a modified version of the method called the flexible Bayes classifier, ...
Tapio Pahikkala, Jorma Boberg, Aleksandr Myllä...
PAMI
2011
13 years 2 months ago
Removal of Partial Occlusion from Single Images
— This paper examines large partial occlusions in an image, which occur near depth discontinuities when the foreground object is severely out of focus. We model these partial occ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi