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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格式: | Theses and Dissertations |
語言: | English |
出版: |
2013
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在線閱讀: | https://hdl.handle.net/10356/54819 |
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