Structured sparse representations for supervised and unsupervised learning

Many problems in machine learning (ML) and computer vision (CV) deal with large amounts of data with variations and noise for underlying tasks. For example, object detection requires filtering semantic objects from noisy and varying backgrounds, and the ImageNet challenge requires to build a classif...

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書目詳細資料
主要作者: Zeng, Yijie
其他作者: Huang Guangbin
格式: Thesis-Doctor of Philosophy
語言:English
出版: Nanyang Technological University 2020
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在線閱讀:https://hdl.handle.net/10356/143420
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