23 citations · 28 across the 5 of their papers we have counts for
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2 papers · 1 filter
cs.HC2017★ 4 cited
Visualization of Big Spatial Data using Coresets for Kernel Density Estimates
Yan Zheng, Yi Ou, Alexander Lex +1
The size of large, geo-located datasets has reached scales where visualization of all data points is inefficient. Random sampling is a method to reduce the size of a dataset, yet i…
cs.LG2017★ 1 cited
Coresets for Kernel Regression
Yan Zheng, Jeff M. Phillips
Kernel regression is an essential and ubiquitous tool for non-parametric data analysis, particularly popular among time series and spatial data. However, the central operation whic…