1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2018
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression
Elizaveta Rebrova, Gustavo Chavez, Yang Liu +2
We present memory-efficient and scalable algorithms for kernel methods used in machine learning. Using hierarchical matrix approximations for the kernel matrix the memory requireme…
cs.GR2015★ 1 cited
Marching Surfaces: Isosurface Approximation using G Multi-Sided Surfaces
Gustavo Chávez, Alyn Rockwood
Marching surfaces is a method for isosurface extraction and approximation based on a multi-sided patch interpolation scheme. Given a 3D grid of scalar values, an underlying c…