APAC: 基于神经网络的增强模式分类

May, 2015

APAC: 基于神经网络的增强模式分类

APAC: Augmented PAttern Classification with Neural Networks

Ikuro Sato, Hiroki Nishimura, Kensuke Yokoi

TL;DR本文提出了使用增强数据学习的最佳决策规则来进行分类的APAC方法，并且实验证明，使用该方法会显著提高分类器的泛化能力。

Abstract

deep neural networks have been exhibiting splendid accuracies in many of visual pattern classification problems. Many of the state-of-the-art methods employ a technique known as →