23 citations · 28 across the 5 of their papers we have counts for
5 papers
Constrained Non-Affine Alignment of Embeddings
Yuwei Wang, Yan Zheng, Yanqing Peng +7
Embeddings are one of the fundamental building blocks for data analysis tasks. Embeddings are already essential tools for large language models and image analysis, and their use is…
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…
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…
Subsampling in Smoothed Range Spaces
Jeff M. Phillips, Yan Zheng
We consider smoothed versions of geometric range spaces, so an element of the ground set (e.g. a point) can be contained in a range with a non-binary value in . Similar noti…
Geometric Inference on Kernel Density Estimates
Jeff M. Phillips, Bei Wang, Yan Zheng
We show that geometric inference of a point cloud can be calculated by examining its kernel density estimate with a Gaussian kernel. This allows one to consider kernel density esti…