Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos, Joaquim Marques de Sá. Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference. In Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia D. Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E. P. Villa, editors, Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Volume 8681 of Lecture Notes in Computer Science, pages 265-272, Springer, 2014. [doi]
@inproceedings{KandaswamySASS14,
title = {Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference},
author = {Chetak Kandaswamy and Luís M. Silva and Luís A. Alexandre and Jorge M. Santos and Joaquim Marques de Sá},
year = {2014},
doi = {10.1007/978-3-319-11179-7_34},
url = {http://dx.doi.org/10.1007/978-3-319-11179-7_34},
researchr = {https://researchr.org/publication/KandaswamySASS14},
cites = {0},
citedby = {0},
pages = {265-272},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings},
editor = {Stefan Wermter and Cornelius Weber and Wlodzislaw Duch and Timo Honkela and Petia D. Koprinkova-Hristova and Sven Magg and Günther Palm and Alessandro E. P. Villa},
volume = {8681},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-11178-0},
}