Self-supervised online metric learning with low rank constraint for scene categorization
Conventional visual recognition systems usually train an image classifier in a bath mode with all training data provided in advance. However, in many practical applications, only a small amount of training samples are available in the beginning and many more would come sequentially during online rec...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2013
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在線閱讀: | https://hdl.handle.net/10356/100216 http://hdl.handle.net/10220/17819 |
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機構: | Nanyang Technological University |
語言: | English |