105 citations · 172 across the 26 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016★ 5 cited
Nystrom Method for Approximating the GMM Kernel
Ping Li
The GMM (generalized min-max) kernel was recently proposed (Li, 2016) as a measure of data similarity and was demonstrated effective in machine learning tasks. In order to use the…
stat.ML2016
A Comparison Study of Nonlinear Kernels
Ping Li
In this paper, we compare 5 different nonlinear kernels: min-max, RBF, fRBF (folded RBF), acos, and acos-, on a wide range of publicly available datasets. The proposed fRBF ke…
stat.ML2016
2-Bit Random Projections, NonLinear Estimators, and Approximate Near Neighbor Search
Ping Li, Michael Mitzenmacher, Anshumali Shrivastava
The method of random projections has become a standard tool for machine learning, data mining, and search with massive data at Web scale. The effective use of random projections re…