Hierarchical feature learning for image categorization
Extracting informative, robust, and compact data representation (feature) has been considered as one of the key factors for good performance in computer vision, and image categorization is one of the most fundamental computer vision problems. Traditionally, hand-crafted features like SIFT and HOG ha...
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| Format: | Thesis |
| Language: | English |
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2015
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| Online Access: | https://hdl.handle.net/10356/65659 |