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CVPR
2007
IEEE
14 years 9 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
ECCV
2002
Springer
14 years 9 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
DAC
2001
ACM
14 years 8 months ago
Formal Property Verification by Abstraction Refinement with Formal, Simulation and Hybrid Engines
roperty Verification by Abstraction Refinement with Formal, Simulation and Hybrid Engines Dong Wang , Pei-Hsin Ho , Jiang Long , James Kukula Yunshan Zhu , Tony Ma , Robert D...
Dong Wang, Pei-Hsin Ho, Jiang Long, James H. Kukul...
WWW
2009
ACM
14 years 8 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
14 years 8 months ago
Learning methods for lung tumor markerless gating in image-guided radiotherapy
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian ...