Robust image analysis with sparse representation on quantized visual features

Recent techniques based on Sparse Representation (SR) have demonstrated promising performance on high-level visual recognition, exemplified by the high-accuracy face recognition under occlusions and other sparse corruptions [1]. Most research in this area has focused on classification algorithms usi...

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Bibliographic Details
Main Authors: BAO, Bingkun, ZHU, Guangyu, SHEN, Jialie, YAN, Shuicheng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
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Online Access:https://ink.library.smu.edu.sg/sis_research/1598
https://ink.library.smu.edu.sg/context/sis_research/article/2597/viewcontent/Robust_image_analysis_with_sparse_representation_on_quantized_visual_features.pdf
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Institution: Singapore Management University
Language: English
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