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    <title>Traffic Sign Classification on ViCoS Lab</title>
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      <title>Traffic sign classification with batch and on-line linear support vector machines</title>
      <link>/publications/mandeljc2015traffic/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;This paper presents a comprehensive benchmark of several feature types and colorspace representations on the task of traffic sign classification. We focus on linear Support Vector Machine classifiers, and test several multi-class formulations, as well as a formulation that allows on-line training and updates. Experiments on two standard traffic sign classification datasets show that despite their relative simplicity, these classifiers offer competitive performance, and ultimately allow design of a flexible classification system in the context of application for automatic maintenance of traffic signalization inventory.&lt;/p&gt;</description>
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