@ARTICLE{
author={Hara Kazuo,Suzuki Ikumi,Kobayashi Kei,Fukumizu Kenji,Radovanovic Milos M},
year={2016},
title={Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness},
journal={THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE},
volume={},
number={},
pages={1659-1665},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Hara Kazuo,Suzuki Ikumi,Shimbo Masashi,Kobayashi Kei,Fukumizu Kenji,Radovanovic Milos M},
year={2015},
title={Localized Centering: Reducing Hubness in Large-Sample Data},
journal={PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE},
volume={},
number={},
pages={2645-2651},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Hara Kazuo,Suzuki Ikumi,Kobayashi Kei,Fukumizu Kenji,Radovanovic Milos M},
year={2015},
title={Reducing Hubness for Kernel Regression},
journal={SIMILARITY SEARCH AND APPLICATIONS, SISAP 2015},
volume={9371},
number={},
pages={339-344},
document_type={Proceedings Paper},
} 

