Mining visual collocation patterns via self-supervised subspace learning
Traditional text data mining techniques are not directly applicable to image data which contain spatial information and are characterized by high-dimensional visual features. It is not a trivial task to discover meaningful visual patterns from images because the content variations and spatial depend...
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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/10356/96325 http://hdl.handle.net/10220/11425 |
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