Hierarchical support vector machine based structural classification with fused hierarchies

Zhao Shuo; Han Yahong; Zou Quan; Hu Qinghua

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Hierarchical support vector machine based structural classification with fused hierarchies

机译：基于层次支持向量机的融合层次结构分类

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摘要

In this paper, we consider the problem of hierarchical image classification with multiple semantic views of object categories. A novel method is proposed for computing an image-semantic measure by determining the weights for the semantic similarity among the concepts of each view. After obtaining the new image-semantic measure, we construct a semantic hierarchy with the existing method called TRUST-ME. For the hierarchical classification, we translate the classification task with a learned taxonomy into a structured support vector machine (SVM) learning framework. We demonstrate our method on VOC2010 and a subset of the Animals with Attributes dataset, and show that the structured SVM using the weighted semantic hierarchy provides better accuracy. (C) 2016 Elsevier B.V. All rights reserved.

机译：在本文中，我们考虑具有对象类别的多个语义视图的分层图像分类问题。提出了一种通过确定每个视图概念之间语义相似度的权重来计算图像语义量度的新方法。在获得新的图像语义度量之后，我们使用称为TRUST-ME的现有方法构造语义层次。对于分层分类，我们将具有学习分类法的分类任务转换为结构化支持向量机（SVM）学习框架。我们在VOC2010和“带有属性的动物”数据集的子集中演示了我们的方法，并表明使用加权语义层次结构的结构化SVM提供了更好的准确性。（C）2016 Elsevier B.V.保留所有权利。

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来源
《Neurocomputing》 |2016年第19期|86-92|共7页
作者
Zhao Shuo; Han Yahong; Zou Quan; Hu Qinghua;
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作者单位

Tianjin Univ, Sch Comp Sci & Technol, Tianjin 300072, Peoples R China|Tianjin Key Lab Cognit Comp & Applicat, Tianjin 300072, Peoples R China;

Tianjin Univ, Sch Comp Sci & Technol, Tianjin 300072, Peoples R China|Tianjin Key Lab Cognit Comp & Applicat, Tianjin 300072, Peoples R China;

Tianjin Univ, Sch Comp Sci & Technol, Tianjin 300072, Peoples R China|Tianjin Key Lab Cognit Comp & Applicat, Tianjin 300072, Peoples R China;

Tianjin Univ, Sch Comp Sci & Technol, Tianjin 300072, Peoples R China|Tianjin Key Lab Cognit Comp & Applicat, Tianjin 300072, Peoples R China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Hierarchical classification; Taxonomies; Structural learning; Hierarchies construction;

机译：层次分类;分类法;结构学习;层次结构;

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Hierarchical support vector machine based structural classification with fused hierarchies

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