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Region adaptive graph fourier transform for 3d point clouds
We introduce the Region Adaptive Graph Fourier Transform (RA-GFT) for co...
03/04/2020 ∙ by Eduardo Pavez, et al. ∙
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Covariance Matrix Estimation with Non Uniform and Data Dependent Missing Observations
In this paper we study covariance estimation with missing data. We consi...
10/01/2019 ∙ by Eduardo Pavez, et al. ∙
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Active covariance estimation by random sub-sampling of variables
We study covariance matrix estimation for the case of partially observed...
04/04/2018 ∙ by Eduardo Pavez, et al. ∙
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Graph Learning from Filtered Signals: Graph System and Diffusion Kernel Identification
This paper introduces a novel graph signal processing framework for buil...
03/07/2018 ∙ by Hilmi E. Egilmez, et al. ∙
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Learning Graphs with Monotone Topology Properties and Multiple Connected Components
Learning graphs with topology properties is a non-convex optimization pr...
05/31/2017 ∙ by Eduardo Pavez, et al. ∙
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Graph Learning from Data under Structural and Laplacian Constraints
Graphs are fundamental mathematical structures used in various fields to...
11/16/2016 ∙ by Hilmi E. Egilmez, et al. ∙
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Dynamic Polygon Clouds: Representation and Compression for VR/AR
We introduce the polygon cloud, also known as a polygon set or soup, a...
10/03/2016 ∙ by Philip A. Chou, et al. ∙
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