%0 Conference Paper %1 conf/icbta/SunWLZLW21 %A Sun, Qiang %A Wang, Liting %A Li, Maohui %A Zhang, Longtao %A Li, Jiaxiao %A Wang, Shiqian %B ICBTA %D 2021 %I ACM %K dblp %P 171-183 %T Measuring the Binary Interestingness of Images: A Unified Prediction Framework Combining Discriminant Correlation Analysis and Multiple Kernel Learning. %U http://dblp.uni-trier.de/db/conf/icbta/icbta2021.html#SunWLZLW21 %@ 978-1-4503-8746-0

@inproceedings{conf/icbta/SunWLZLW21, added-at = {2022-03-04T00:00:00.000+0100}, author = {Sun, Qiang and Wang, Liting and Li, Maohui and Zhang, Longtao and Li, Jiaxiao and Wang, Shiqian}, biburl = {https://www.bibsonomy.org/bibtex/2bdd3b382c944bd639c4f62e4380e369a/dblp}, booktitle = {ICBTA}, crossref = {conf/icbta/2021}, ee = {https://doi.org/10.1145/3510487.3510512}, interhash = {68afebb7e11d3f3181c1ec70728ea4a6}, intrahash = {bdd3b382c944bd639c4f62e4380e369a}, isbn = {978-1-4503-8746-0}, keywords = {dblp}, pages = {171-183}, publisher = {ACM}, timestamp = {2024-04-09T10:32:37.000+0200}, title = {Measuring the Binary Interestingness of Images: A Unified Prediction Framework Combining Discriminant Correlation Analysis and Multiple Kernel Learning.}, url = {http://dblp.uni-trier.de/db/conf/icbta/icbta2021.html#SunWLZLW21}, year = 2021 }