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Performance comparison between SVM and K-Means for vehicle counting

Support vector machine (SVM) and K-means have been two well known methods used in classification. Choosing an accurate classifier for good features to differentiate between the foreground and background has a significant effect in increasing the accuracy of the detection. This paper presents and ana...

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書誌詳細
主要な著者:	El-Khoreby, Mohamed A., Abu Bakar, Syed Abd. Rahman, Mohd. Mokji, Musa, Omar, Syaril Nizam
フォーマット:	Conference or Workshop Item
言語:	English
出版事項:	2020
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/id/eprint/91237/1/SyedAbdRahman2020_PerformanceComparisonBetweenSVMandK-Means.pdf http://eprints.utm.my/id/eprint/91237/ http://dx.doi.org/10.1088/1757-899X/884/1/012077
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