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JMLR
2010
101views more  JMLR 2010»
14 years 4 months ago
Classification Using Geometric Level Sets
A variational level set method is developed for the supervised classification problem. Nonlinear classifier decision boundaries are obtained by minimizing an energy functional tha...
Kush R. Varshney, Alan S. Willsky
JMLR
2010
367views more  JMLR 2010»
14 years 4 months ago
Locally Linear Denoising on Image Manifolds
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
Dian Gong, Fei Sha, Gérard G. Medioni
JMLR
2010
108views more  JMLR 2010»
14 years 4 months ago
Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation
The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...
Taiji Suzuki, Masashi Sugiyama
COLING
2010
14 years 4 months ago
Maximum Metric Score Training for Coreference Resolution
A large body of prior research on coreference resolution recasts the problem as a two-class classification problem. However, standard supervised machine learning algorithms that m...
Shanheng Zhao, Hwee Tou Ng
116
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AMC
2011
14 years 1 months ago
Large correlation analysis
:In this paper, a novel supervised dimensionality reduction method is developed based on both the correlation analysis and the idea of large margin learning. The method aims to m...
Xiaohong Chen, Songcan Chen, Hui Xue