55 citations · 125 across the 37 of their papers we have counts for
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cs.LG2016★ 26 cited
Graph Learning from Data under Structural and Laplacian Constraints
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
Graphs are fundamental mathematical structures used in various fields to represent data, signals and processes. In this paper, we propose a novel framework for learning/estimating…
cs.GR2016★ 3 cited
Dynamic Polygon Clouds: Representation and Compression for VR/AR
Philip A. Chou, Eduardo Pavez, Ricardo L. de Queiroz +1
We introduce the {\em polygon cloud}, also known as a polygon set or {\em soup}, as a compressible representation of 3D geometry (including its attributes, such as color texture) i…