عنوان مقاله فارسی: یک روش کارآمد برای شناسایی علامت ترافیک براساس ماشین یادگیری افراطی عنوان مقاله لاتین: An Efficient Method for Traffic Sign Recognition Based on Extreme Learning Machine نویسندگان: Zhiyong Huang; Yuanlong Yu; Jason Gu; Huaping Liu تعداد صفحات: 13 سال انتشار: 2017 زبان: لاتین Abstract: This paper proposes a computationally efficient method for traffic sign recognition (TSR). This proposed method consists of two modules: (1) extraction of histogram of oriented gradient variant (HOGv) feature and (2) a single classifier trained by extreme learning machine (ELM) algorithm. The presented HOGv feature keeps a good balance between redundancy and local details such that it can represent distinctive shapes better. The classifier is a single-hidden-layer
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