Sparse online learning of image similarity

Learning image similarity plays a critical role in real-world multimedia information retrieval applications, especially in Content-Based Image Retrieval (CBIR) tasks, in which an accurate retrieval of visually similar objects largely relies on an effective image similarity function. Crafting a good...

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Bibliographic Details
Main Authors: GAO, Xingyu, HOI, Steven C. H., ZHANG, Yongdong, ZHOU, Jianshe, WAN, Ji, CHEN, Zhenyu, LI, Jintao, ZHU, Jianke
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
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Online Access:https://ink.library.smu.edu.sg/sis_research/3794
https://ink.library.smu.edu.sg/context/sis_research/article/4796/viewcontent/Sparse_online_learning_of_image_similarity.pdf
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Institution: Singapore Management University
Language: English