Research and development of hash retrieval technology based on deep learning
In the era of big data,data shows the characteristics of high dimension,large amount and rapid growth.How to efficiently retrieve similar data from a large amount of complex data is a research hotspot.By mapping data to binary codes,the hashing technique can significantly accelerate the similarity c...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2018-10-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018274/ |
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| _version_ | 1841530471744274432 |
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| author | Mingwen YUAN Jiangbo QIAN Yihong DONG Huahui CHEN |
| author_facet | Mingwen YUAN Jiangbo QIAN Yihong DONG Huahui CHEN |
| author_sort | Mingwen YUAN |
| collection | DOAJ |
| description | In the era of big data,data shows the characteristics of high dimension,large amount and rapid growth.How to efficiently retrieve similar data from a large amount of complex data is a research hotspot.By mapping data to binary codes,the hashing technique can significantly accelerate the similarity calculation and reduce storage and communication overhead during the retrieval process.In recent years,deep learning has shown excellent performance in extracting data features.Deep learning-based hash retrieval technique has the advantages of high speed and accuracy.The methods and advanced development of deep learning hashing were mainly summarized,and the future of research direction was briefly discussed. |
| format | Article |
| id | doaj-art-b7c11680f0c14e279304edcc3c5cbd69 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2018-10-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-b7c11680f0c14e279304edcc3c5cbd692025-01-15T03:03:58ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-10-013410411559593521Research and development of hash retrieval technology based on deep learningMingwen YUANJiangbo QIANYihong DONGHuahui CHENIn the era of big data,data shows the characteristics of high dimension,large amount and rapid growth.How to efficiently retrieve similar data from a large amount of complex data is a research hotspot.By mapping data to binary codes,the hashing technique can significantly accelerate the similarity calculation and reduce storage and communication overhead during the retrieval process.In recent years,deep learning has shown excellent performance in extracting data features.Deep learning-based hash retrieval technique has the advantages of high speed and accuracy.The methods and advanced development of deep learning hashing were mainly summarized,and the future of research direction was briefly discussed.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018274/big dataapproximate nearest neighbor querydeep learning hashing |
| spellingShingle | Mingwen YUAN Jiangbo QIAN Yihong DONG Huahui CHEN Research and development of hash retrieval technology based on deep learning Dianxin kexue big data approximate nearest neighbor query deep learning hashing |
| title | Research and development of hash retrieval technology based on deep learning |
| title_full | Research and development of hash retrieval technology based on deep learning |
| title_fullStr | Research and development of hash retrieval technology based on deep learning |
| title_full_unstemmed | Research and development of hash retrieval technology based on deep learning |
| title_short | Research and development of hash retrieval technology based on deep learning |
| title_sort | research and development of hash retrieval technology based on deep learning |
| topic | big data approximate nearest neighbor query deep learning hashing |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018274/ |
| work_keys_str_mv | AT mingwenyuan researchanddevelopmentofhashretrievaltechnologybasedondeeplearning AT jiangboqian researchanddevelopmentofhashretrievaltechnologybasedondeeplearning AT yihongdong researchanddevelopmentofhashretrievaltechnologybasedondeeplearning AT huahuichen researchanddevelopmentofhashretrievaltechnologybasedondeeplearning |