BriefGPT.xyz
Oct, 2015
通过非线性正交迭代的随机优化进行深度CCA
Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations
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Weiran Wang, Raman Arora, Karen Livescu, Nathan Srebro
TL;DR
本文提出了一种基于小批量迭代求解CCA目标的深度神经网络扩展模型Deep CCA，用于解决随机优化的问题。结果表明，该模型达到了与先前优化器相同的性能，且减轻了内存需求。
Abstract
deep cca
is a recently proposed deep
neural network
extension to the traditional canonical correlation analysis (CCA), and has been successful for
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