Michael E. Houle
Michael E. Houle
Principal Fellow, School of Computing and Information Systems, University of Melbourne
Verified email at
Cited by
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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 (4), 891-927, 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
Can shared-neighbor distances defeat the curse of dimensionality?
ME Houle, HP Kriegel, P Kröger, E Schubert, A Zimek
International conference on scientific and statistical database management …, 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
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
Computing the width of a set
ME Houle, GT Toussaint
IEEE Transactions on Pattern Analysis and Machine Intelligence 10 (5), 761-765, 1988
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
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
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
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
Dimensionality, discriminability, density and distance distributions
ME Houle
2013 IEEE 13th International Conference on Data Mining Workshops, 468-473, 2013
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
Information processing using a hierarchy structure of randomized samples
M Aono, ME Houle, M Kobayashi
US Patent 7,216,129, 2007
Local intrinsic dimensionality I: an extreme-value-theoretic foundation for similarity applications
ME Houle
International Conference on Similarity Search and Applications, 64-79, 2017
Finding the best viewpoints for three-dimensional graph drawings
P Eades, ME Houle, R Webber
International Symposium on Graph Drawing, 87-98, 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
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
Generalized expansion dimension
ME Houle, H Kashima, M Nett
2012 IEEE 12th International Conference on Data Mining Workshops, 587-594, 2012
Robust distance-based clustering with applications to spatial data mining
V Estivill-Castro, ME Houle
Algorithmica 30 (2), 216-242, 2001
New results on a visibility representation of graphs in 3D
SP Fekete, ME Houle, S Whitesides
International Symposium on Graph Drawing, 234-241, 1995
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