Search Machine Learning Repository: @inproceedings{icml2014c2_lim14,
    Publisher = {JMLR Workshop and Conference Proceedings},
    Title = {Efficient Learning of Mahalanobis Metrics for Ranking},
    Url = {http://jmlr.org/proceedings/papers/v32/lim14.pdf},
    Abstract = {We develop an efficient algorithm to learn a Mahalanobis distance metric by directly optimizing a ranking loss. Our approach focuses on optimizing the top of the induced rankings, which is desirable in tasks such as visualization and nearest-neighbor retrieval. We further develop and justify a simple technique to reduce training time significantly with minimal impact on performance. Our proposed method significantly outperforms alternative methods on several real-world tasks, and can scale to large and high-dimensional data.},
    Author = {Daryl Lim and Gert Lanckriet},
    Editor = {Tony Jebara and Eric P. Xing},
    Year = {2014},
    Booktitle = {Proceedings of the 31st International Conference on Machine Learning (ICML-14)},
    Pages = {1980-1988}
   }