Self-Expressive Decompositions for Matrix Approximation and Clustering

Self-Expressive Decompositions for Matrix Approximation and Clustering

4 May 2015

Konrad Paul Kording

Richard G. Baraniuk

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Papers citing "Self-Expressive Decompositions for Matrix Approximation and Clustering"

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Title
Self-Expressive Subspace Clustering to Recognize Motion Dynamics of a Multi-Joint Coordination for Chronic Ankle Instability Shaodi Qian S. Yen Eric Folmar C. Chou 54 4 0 06 Jan 2019
A Low-rank Control Variate for Multilevel Monte Carlo Simulation of High-dimensional Uncertain Systems Hillary R. Fairbanks Alireza Doostan C. Ketelsen G. Iaccarino 77 50 0 01 Nov 2016
oASIS: Adaptive Column Sampling for Kernel Matrix Approximation Raajen Patel Thomas A. Goldstein Eva L. Dyer Azalia Mirhoseini Richard G. Baraniuk 55 9 0 19 May 2015
RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets Azalia Mirhoseini Eva L. Dyer Ebrahim M. Songhori Richard G. Baraniuk F. Koushanfar 40 1 0 27 Mar 2015