Multiple hierarchical deep hashing for large scale image retrieval-Reference-Cited by-同舟云学术

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Multiple hierarchical deep hashing for large scale image retrieval

Published:2017-02-27 Issue:9 Volume:77 Page:10471-10484
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Cao Liangfu,Gao Lianli,Song Jingkuan,Shen Fumin,Wang Yuan

Funder

Fundamental Research Funds for the Central Univer- sities

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-017-4489-0/fulltext.html

Reference50 articles.

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2. Bradski GR (1998) Computer vision face tracking for use in a perceptual user interface. Intel Technol J Q2(Q2):214–219

3. Chang SF (2012) Supervised hashing with kernels. In: IEEE Conference on computer vision and pattern recognition, pp 2074–2081

4. Chowdhury GG (2003) Natural language processing. Ann Rev Inf Sci Technol 37(1):51–89

5. Datar M, Immorlica N, Indyk P, Mirrokni VS (2004) Locality-sensitive hashing scheme based on p-stable distributions. In: Twentieth Symposium on computational geometry, pp 253–262

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1. Attention-Aware Feature Pyramid Ordinal Hashing for Image Retrieval;Proceedings of the ACM Multimedia Asia;2019-12-15

2. Fusion that matters: convolutional fusion networks for visual recognition;Multimedia Tools and Applications;2018-02-27

3. CNN-RNN: a large-scale hierarchical image classification framework;Multimedia Tools and Applications;2017-12-12

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