A novel cross-modal hashing algorithm based on multimodal deep learning
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2017/03/21
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Indian UGC (journal)
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Refrences36
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Citations24
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Wen Qu
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Daling Wang
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Shi Feng
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Yifei Zhang
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Ge Yu
Cite
Qu, Wen, et al. “A Novel Cross-Modal Hashing Algorithm Based on Multimodal Deep Learning”. Science China Information Sciences, vol. 60, no. 9, 2017, https://doi.org/10.1007/s11432-015-0902-2.
Qu, W., Wang, D., Feng, S., Zhang, Y., & Yu, G. (2017). A novel cross-modal hashing algorithm based on multimodal deep learning. Science China Information Sciences, 60(9). https://doi.org/10.1007/s11432-015-0902-2
Qu, Wen, Daling Wang, Shi Feng, Yifei Zhang, and Ge Yu. “A Novel Cross-Modal Hashing Algorithm Based on Multimodal Deep Learning”. Science China Information Sciences 60, no. 9 (2017). https://doi.org/10.1007/s11432-015-0902-2.
Qu W, Wang D, Feng S, Zhang Y, Yu G. A novel cross-modal hashing algorithm based on multimodal deep learning. Science China Information Sciences. 2017;60(9).
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 10.1109/TIP.2015.2467315 | 2015 | |||
| Perceptual video hashing robust against geometric distortions | Science China Information Sciences |
| 8 | 2012 |
| 10.1109/TASL.2011.2134090 | 2012 | |||
Reducing the Dimensionality of Data with Neural Networks | Science |
| 8,731 | 2006 |
| 10.1023/B:VISI.0000029664.99615.94 | 2004 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| ViGT: proposal-free video grounding with a learnable token in the transformer | Science China Information Sciences |
| 3 | 2023 |
| Alignment efficient image-sentence retrieval considering transferable cross-modal representation learning | Frontiers of Computer Science |
| 1 | 2023 |
| Research on Vision of Intelligent Car Based on Broad Learning System | IEEE Transactions on Cybernetics |
| 1 | 2023 |
Analysis of Conventional Feature Learning Algorithms and Advanced Deep Learning Models | Journal of Robotics Spectrum | 2023 | ||
| Candidate region acquisition optimization algorithm based on multi-granularity data enhancement | International Journal of Machine Learning and Cybernetics |
| 2 | 2022 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 15
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A joint deep model of entities and documents for cumulative citation recommendation and was published in 2017. The most recent citation comes from a 2023 study titled Analysis of Conventional Feature Learning Algorithms and Advanced Deep Learning Models. This article reached its peak citation in 2019, with 8 citations. It has been cited in 19 different journals, 21% of which are open access. Among related journals, the Science China Information Sciences cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.