Learning sparse latent representation and distance metric for image retrieval

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Learning sparse latent representation and distance metric for image retrieval

The performance of image retrieval depends critically on the semantic representation and the distance function used to estimate the similarity of two images. A good representation should integrate multiple visual and textual (e.g., tag) features and offer a step closer to the true semantics of inter...

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Bibliographic Details
Main Authors:	Nguyen, T., Tran, The Truyen, Phung, D., Venkatesh, S.
Format:	Conference Paper
Published:	2013
Online Access:	http://hdl.handle.net/20.500.11937/19160

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