Triplet Deep Hashing with Joint Supervised Loss Based on Deep Neural Networks

In recent years, with the explosion of multimedia data from search engines, social media, and e-commerce platforms, there is an urgent need for fast retrieval methods for massive big data. Hashing is widely used in large-scale and high-dimensional data search because of its low storage cost and fast...

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Detalles Bibliográficos
Autores principales: Li, Mingyong, An, Ziye, Wei, Qinmin, Xiang, Kaiyue, Ma, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811991/
https://www.ncbi.nlm.nih.gov/pubmed/31687007
http://dx.doi.org/10.1155/2019/8490364

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811991/
https://www.ncbi.nlm.nih.gov/pubmed/31687007
http://dx.doi.org/10.1155/2019/8490364

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