Distance learning between image and class for object recognition

Distance learning between image and class for object recognition

Object recognition is an active research topic in the computer vision community. Recently a novel Image-to-Class (I2C) distance has been proposed to handle this problem, which classifies images using a simple Naive-Bayes based nearest-neighbor (NBNN) classifier but provides surprisingly excellent pe...

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書目詳細資料
主要作者:	Wang, Zhengxiang
其他作者:	Chia Liang Tien, Clement
格式:	Theses and Dissertations
語言:	English
出版:	2013
主題:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
在線閱讀:	https://hdl.handle.net/10356/54819
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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