@article{SchleifRaabTino, author = {Schleif, Frank-Michael and Raab, Christoph and Ti{\~n}o, Peter}, title = {Sparsification of core set models in non-metric supervised learning}, series = {Pattern Recognition Letters}, volume = {129}, journal = {Pattern Recognition Letters}, doi = {10.1016/j.patrec.2019.10.024}, pages = {1 -- 7}, language = {en} } @inproceedings{SchleifRaabTino, author = {Schleif, Frank-Michael and Raab, Christoph and Ti{\~n}o, Peter}, title = {Sparsification of Indefinite Learning Models}, series = {Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings}, booktitle = {Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings}, editor = {Bai, Xiao and Hancock, Edwin R. and Kam Ho, Tin and Wilson, Richard C. and Biggio, Battista and Robles-Kelly, Antonio}, doi = {10.1007/978-3-319-97785-0_17}, pages = {173 -- 183}, language = {en} } @inproceedings{SchleifGisbrechtTino, author = {Schleif, Frank-Michael and Gisbrecht, Andrej and Ti{\~n}o, Peter}, title = {Large Scale Indefinite Kernel Fisher Discriminant}, series = {Similarity-Based Pattern Recognition - Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015, Proceedings}, booktitle = {Similarity-Based Pattern Recognition - Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015, Proceedings}, editor = {Feragen, Aasa and Pelillo, Marcello and Loog, Marco}, doi = {10.1007/978-3-319-24261-3_13}, pages = {160 -- 170}, language = {en} } @inproceedings{SchleifKabanTino, author = {Schleif, Frank-Michael and Kab{\´a}n, Ata and Ti{\~n}o, Peter}, title = {Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation}, series = {Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings}, booktitle = {Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings}, editor = {Schwenker, Friedhelm and Abbas, Hazem M. and El Gayar, Neamat and Trentin, Edmondo}, doi = {10.1007/978-3-319-46182-3_4}, pages = {42 -- 54}, language = {en} } @inproceedings{SchleifTinoVillmann, author = {Schleif, Frank-Michael and Ti{\~n}o, Peter and Villmann, Thomas}, title = {Recent trends in learning of structured and non-standard data}, series = {22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014}, booktitle = {22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014}, language = {en} } @inproceedings{SchleifGisbrechtTino, author = {Schleif, Frank-Michael and Gisbrecht, Andrej and Ti{\~n}o, Peter}, title = {Probabilistic Classification Vector Machine at large scale}, series = {23rd European Symposium on Artificial Neural Networks, ESANN 2015, Bruges, Belgium, April 22-24, 2015}, booktitle = {23rd European Symposium on Artificial Neural Networks, ESANN 2015, Bruges, Belgium, April 22-24, 2015}, language = {en} } @inproceedings{SchleifTinoLiang, author = {Schleif, Frank-Michael and Ti{\~n}o, Peter and Liang, Yingyu}, title = {Learning in indefinite proximity spaces - recent trends}, series = {24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016}, booktitle = {24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016}, language = {en} } @article{SchleifGisbrechtTino, author = {Schleif, Frank-Michael and Gisbrecht, Andrej and Ti{\~n}o, Peter}, title = {Supervised low rank indefinite kernel approximation using minimum enclosing balls}, series = {Neurocomputing}, volume = {318}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2018.08.057}, pages = {213 -- 226}, language = {en} } @article{SchleifTino, author = {Schleif, Frank-Michael and Ti{\~n}o, Peter}, title = {Indefinite Core Vector Machine}, series = {Pattern Recognition}, volume = {71}, journal = {Pattern Recognition}, doi = {10.1016/j.patcog.2017.06.003}, pages = {187 -- 195}, language = {en} } @inproceedings{SchleifChenTino, author = {Schleif, Frank-Michael and Chen, H. and Ti{\~n}o, Peter}, title = {Incremental probabilistic classification vector machine with linear costs}, series = {2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015}, booktitle = {2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015}, doi = {10.1109/IJCNN.2015.7280377}, pages = {1 -- 8}, language = {en} }