2.4k citations · 12.3k across the 115 of their papers we have counts for
4 papers · 1 filter
Image Data Compression for Covariance and Histogram Descriptors
Matt J. Kusner, Nicholas I. Kolkin, Stephen Tyree +1
Covariance and histogram image descriptors provide an effective way to capture information about images. Both excel when used in combination with special purpose distance metrics.…
A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing
Quan Zhou, Wenlin Chen, Shiji Song +3
The past years have witnessed many dedicated open-source projects that built and maintain implementations of Support Vector Machines (SVM), parallelized for GPU, multi-core CPUs an…
Parallel Support Vector Machines in Practice
Stephen Tyree, Jacob R. Gardner, Kilian Q. Weinberger +2
In this paper, we evaluate the performance of various parallel optimization methods for Kernel Support Vector Machines on multicore CPUs and GPUs. In particular, we provide the fir…
Marginalizing Corrupted Features
Laurens van der Maaten, Minmin Chen, Stephen Tyree +1
The goal of machine learning is to develop predictors that generalize well to test data. Ideally, this is achieved by training on an almost infinitely large training data set that…