BriefGPT.xyz
Mar, 2015
紧致的非线性映射和循环扩展
Compact Nonlinear Maps and Circulant Extensions
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Felix X. Yu, Sanjiv Kumar, Henry Rowley, Shih-Fu Chang
TL;DR
通过数据相关的方式直接优化非线性映射,提高核学习和逼近的性能,减少高维映射的计算成本,并引入使用循环矩阵结构的投影矩阵的循环非线性映射。
Abstract
kernel approximation
via
nonlinear random feature maps
is widely used in speeding up kernel machines. There are two main challenges for the conventional
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