BriefGPT.xyz
Nov, 2014
无监督适应的跨域分类和子空间学习
Joint cross-domain classification and subspace learning
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Basura Fernando, Tatiana Tommasi, Tinne Tuytelaars
TL;DR
本文提出了一种基于随机次梯度下降优化学习问题的交替优化技术,以在几个域适应任务上展示其性能,该技术旨在同时学习源子空间和预测函数,最小化正则化误分类损失。
Abstract
domain adaptation
aims at adapting a prediction function trained on a source domain, for a new different but related target domain. Recently several
subspace learning
methods have proposed adaptive solutions in t
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