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» A New Discriminative Kernel From Probabilistic Models
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ECCV
2010
Springer
15 years 3 months ago
Analysis of Motion Blur With a Flutter Shutter Camera for Non-Linear Motion
Motion blurs confound many computer vision problems. The fluttered shutter (FS) camera [1] tackles the motion deblurring problem by emulating invertible broadband blur kernels. How...
Yuanyuan Ding, Scott McCloskey, Jingyi Yu
ML
2000
ACM
124views Machine Learning» more  ML 2000»
14 years 9 months ago
Text Classification from Labeled and Unlabeled Documents using EM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
IJON
2007
78views more  IJON 2007»
14 years 9 months ago
A non-parametric electrode model for intracellular recording
We present a new way to model the response of an electrode to an injected current. The electrode is represented by an unknown complex linear circuit, characterized by a kernel whi...
Romain Brette, Zuzanna Piwkowska, Michelle Rudolph...
BMCBI
2006
100views more  BMCBI 2006»
14 years 10 months ago
Using the nucleotide substitution rate matrix to detect horizontal gene transfer
Background: Horizontal gene transfer (HGT) has allowed bacteria to evolve many new capabilities. Because transferred genes perform many medically important functions, such as conf...
Micah Hamady, M. D. Betterton, Rob Knight
PAMI
2007
154views more  PAMI 2007»
14 years 9 months ago
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...