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Sparse regression - PowerPoint PPT Presentation

Jason Palmer Department of Electrical and Computer Engineering University of California San Diego

Jason Palmer Department of Electrical and Computer Engineering University of California San Diego

Variational and Scale Mixture Density Representations for Estimation in the Bayesian Linear Model : Sparse Coding, Independent Component Analysis, and Minimum Entropy Segmentation. Jason Palmer Department of Electrical and Computer Engineering University of California San Diego. Introduction.

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527 views • 51 slides
Thesis Proposal Learning with Sparsity: Structures, Optimization and Applications

Thesis Proposal Learning with Sparsity: Structures, Optimization and Applications

Thesis Proposal Learning with Sparsity: Structures, Optimization and Applications. Xi Chen Committee Members: Jaime Carbonell (chair), Tom Mitchell, Larry Wasserman, Robert Tibshirani Machine Learning Department Carnegie Mellon University. Modern Data Analysis.

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733 views • 37 slides
Instituto de Telecomunicações, Instituto Superior Técnico, Technical University of Lisbon , Lisbon

Instituto de Telecomunicações, Instituto Superior Técnico, Technical University of Lisbon , Lisbon

Sparse Regression-based Hyperspectral Unmixing. Marian-Daniel Iordache 1,2. José M. Bioucas-Dias 2. Antonio Plaza 1. 2. 1. Department of Technology of Computers and Communications , University of Extremadura , Caceres Spain.

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475 views • 20 slides
Instituto de Telecomunicações, Instituto Superior Técnico, Technical University of Lisbon , Lisbon

Instituto de Telecomunicações, Instituto Superior Técnico, Technical University of Lisbon , Lisbon

Sparse Regression-based Hyperspectral Unmixing. Marian-Daniel Iordache 1,2. José M. Bioucas-Dias 2. Antonio Plaza 1. 2. 1. Department of Technology of Computers and Communications , University of Extremadura , Caceres Spain.

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262 views • 20 slides
USPACOR: Universal Sparsity-Controlling Outlier Rejection

USPACOR: Universal Sparsity-Controlling Outlier Rejection

USPACOR: Universal Sparsity-Controlling Outlier Rejection. G. B. Giannakis, G. Mateos, S. Farahmand, V. Kekatos, and H. Zhu ECE Department, University of Minnesota Acknowledgments : NSF grants no. CCF-0830480, 1016605 EECS-0824007, 1002180. May 24, 2011. Robust learning.

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167 views • 13 slides

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