On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study GO Campos, A Zimek, J Sander, RJGB Campello, B Micenková, ... Data mining and knowledge discovery 30, 891-927, 2016 | 803 | 2016 |
Characterizing adversarial subspaces using local intrinsic dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, G Schoenebeck, D Song, ... arXiv preprint arXiv:1801.02613, 2018 | 796 | 2018 |
Dimensionality-driven learning with noisy labels X Ma, Y Wang, ME Houle, S Zhou, S Erfani, S Xia, S Wijewickrema, ... International Conference on Machine Learning, 3355-3364, 2018 | 445 | 2018 |
Can shared-neighbor distances defeat the curse of dimensionality? ME Houle, HP Kriegel, P Kröger, E Schubert, A Zimek Scientific and Statistical Database Management: 22nd International …, 2010 | 354 | 2010 |
Computer system, method, and program product for generating a data structure for information retrieval, and an associated graphical user interface ME Houle US Patent 7,428,541, 2008 | 302 | 2008 |
Computing the width of a set ME Houle, GT Toussaint Proceedings of the first annual symposium on Computational geometry, 1-7, 1985 | 254 | 1985 |
Estimating local intrinsic dimensionality L Amsaleg, O Chelly, T Furon, S Girard, ME Houle, K Kawarabayashi, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 158 | 2015 |
Fast approximate similarity search in extremely high-dimensional data sets ME Houle, J Sakuma 21st International Conference on Data Engineering (ICDE'05), 619-630, 2005 | 136 | 2005 |
Local intrinsic dimensionality I: an extreme-value-theoretic foundation for similarity applications ME Houle Similarity Search and Applications: 10th International Conference, SISAP …, 2017 | 105 | 2017 |
Expansion of the APC superfamily of secondary carriers A Vastermark, S Wollwage, ME Houle, R Rio, MH Saier Jr Proteins: Structure, Function, and Bioinformatics 82 (10), 2797-2811, 2014 | 99 | 2014 |
Dimensionality, discriminability, density and distance distributions ME Houle 2013 IEEE 13th International Conference on Data Mining Workshops, 468-473, 2013 | 98 | 2013 |
Finding local anomalies in very high dimensional space T De Vries, S Chawla, ME Houle 2010 IEEE International Conference on Data Mining, 128-137, 2010 | 95 | 2010 |
Generalized expansion dimension ME Houle, H Kashima, M Nett 2012 IEEE 12th International Conference on Data Mining Workshops, 587-594, 2012 | 76 | 2012 |
The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality L Amsaleg, J Bailey, D Barbe, S Erfani, ME Houle, V Nguyen, ... 2017 ieee workshop on information forensics and security (wifs), 1-6, 2017 | 74 | 2017 |
Rank-based similarity search: Reducing the dimensional dependence ME Houle, M Nett IEEE transactions on pattern analysis and machine intelligence 37 (1), 136-150, 2014 | 69 | 2014 |
Information processing using a hierarchy structure of randomized samples M Aono, ME Houle, M Kobayashi US Patent 7,216,129, 2007 | 69 | 2007 |
A visibility representation for graphs in three dimensions P Bose, H Everett, SP Fekete, ME Houle, A Lubiw, H Meijer, K Romanik, ... Graph Algorithms And Applications I, 103-118, 2002 | 67 | 2002 |
Robust distance-based clustering with applications to spatial data mining V Estivill-Castro, ME Houle Algorithmica 30, 216-242, 2001 | 67 | 2001 |
Finding the best viewpoints for three-dimensional graph drawings P Eades, ME Houle, R Webber Graph Drawing: 5th International Symposium, GD'97 Rome, Italy, September 18 …, 1997 | 67 | 1997 |
Extracting spatial knowledge from the web Y Morimoto, M Aono, ME Houle, KS McCurley 2003 Symposium on Applications and the Internet, 2003. Proceedings., 326-333, 2003 | 64 | 2003 |