Measuring the Binary Interestingness of Images: A Unified Prediction Framework Combining Discriminant Correlation Analysis and Multiple Kernel Learning

Qiang Sun, Liting Wang, Maohui Li, Longtao Zhang, Jiaxiao Li, Shiqian Wang. Measuring the Binary Interestingness of Images: A Unified Prediction Framework Combining Discriminant Correlation Analysis and Multiple Kernel Learning. In ICBTA 2021: 4th International Conference on Blockchain Technology and Applications, Xi'an, China, December 17 - 19, 2021. pages 171-183, ACM, 2021. [doi]

@inproceedings{SunWLZLW21,
  title = {Measuring the Binary Interestingness of Images: A Unified Prediction Framework Combining Discriminant Correlation Analysis and Multiple Kernel Learning},
  author = {Qiang Sun and Liting Wang and Maohui Li and Longtao Zhang and Jiaxiao Li and Shiqian Wang},
  year = {2021},
  doi = {10.1145/3510487.3510512},
  url = {https://doi.org/10.1145/3510487.3510512},
  researchr = {https://researchr.org/publication/SunWLZLW21},
  cites = {0},
  citedby = {0},
  pages = {171-183},
  booktitle = {ICBTA 2021: 4th International Conference on Blockchain Technology and Applications, Xi'an, China, December 17 - 19, 2021},
  publisher = {ACM},
  isbn = {978-1-4503-8746-0},
}