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Jul, 2014
深度结构化模型学习
Learning Deep Structured Models
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Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun
TL;DR
此研究旨在将马尔可夫随机场与深度学习相结合，提出了一个训练算法，可以学习结构化模型和深度特征，以提高多个随机变量的预测性能。该算法在预测词汇和图像多分类上均具有重要的性能提高。
Abstract
In recent years the performance of
deep learning
algorithms has been demonstrated in a variety of application domains. The goal of this paper is to enrich
deep learning
to be able to predict a set of random varia
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