Joint global metric learning and local manifold preservation for scene recognition
- Author
- Chen Wang, Guohua Peng and Bernard De Baets (UGent)
- Organization
- Project
- Keywords
- Global metric learning, Local manifold preservation, Scene recognition, FEATURE FUSION, IMAGE, CLASSIFICATION, FEATURES
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8764080
- MLA
- Wang, Chen, et al. “Joint Global Metric Learning and Local Manifold Preservation for Scene Recognition.” INFORMATION SCIENCES, vol. 610, 2022, pp. 938–56, doi:10.1016/j.ins.2022.07.188.
- APA
- Wang, C., Peng, G., & De Baets, B. (2022). Joint global metric learning and local manifold preservation for scene recognition. INFORMATION SCIENCES, 610, 938–956. https://doi.org/10.1016/j.ins.2022.07.188
- Chicago author-date
- Wang, Chen, Guohua Peng, and Bernard De Baets. 2022. “Joint Global Metric Learning and Local Manifold Preservation for Scene Recognition.” INFORMATION SCIENCES 610: 938–56. https://doi.org/10.1016/j.ins.2022.07.188.
- Chicago author-date (all authors)
- Wang, Chen, Guohua Peng, and Bernard De Baets. 2022. “Joint Global Metric Learning and Local Manifold Preservation for Scene Recognition.” INFORMATION SCIENCES 610: 938–956. doi:10.1016/j.ins.2022.07.188.
- Vancouver
- 1.Wang C, Peng G, De Baets B. Joint global metric learning and local manifold preservation for scene recognition. INFORMATION SCIENCES. 2022;610:938–56.
- IEEE
- [1]C. Wang, G. Peng, and B. De Baets, “Joint global metric learning and local manifold preservation for scene recognition,” INFORMATION SCIENCES, vol. 610, pp. 938–956, 2022.
@article{8764080, author = {{Wang, Chen and Peng, Guohua and De Baets, Bernard}}, issn = {{0020-0255}}, journal = {{INFORMATION SCIENCES}}, keywords = {{Global metric learning,Local manifold preservation,Scene recognition,FEATURE FUSION,IMAGE,CLASSIFICATION,FEATURES}}, language = {{eng}}, pages = {{938--956}}, title = {{Joint global metric learning and local manifold preservation for scene recognition}}, url = {{http://doi.org/10.1016/j.ins.2022.07.188}}, volume = {{610}}, year = {{2022}}, }
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