Michael E. Houle

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 42

Top Venues

Publications

Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis. CoRR (2024)
Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
LDReg: Local Dimensionality Regularized Self-Supervised Learning. CoRR (2024)
James Bailey, Michael E. Houle, Xingjun Ma
Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation. Inf. Syst. 118 (2023)
Laurent Amsaleg, Oussama Chelly, Michael E. Houle, Ken-ichi Kawarabayashi, Milos Radovanovic, Weeris Treeratanajaru
Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental Analysis. CoRR (2022)
James Bailey, Michael E. Houle, Xingjun Ma
Local Intrinsic Dimensionality, Entropy and Statistical Divergences. Entropy 24 (9) (2022)
Michael E. Houle, Ken-ichi Kawarabayashi
The Effect of Random Projection on Local Intrinsic Dimensionality. SISAP (2021)
Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle
A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. SDM (2021)
Laurent Amsaleg, James Bailey, Amélie Barbe, Sarah M. Erfani, Teddy Furon, Michael E. Houle, Milos Radovanovic, Xuan Vinh Nguyen
High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence. IEEE Trans. Inf. Forensics Secur. 16 (2021)
James Bailey, Michael E. Houle, Xingjun Ma
Relationships Between Local Intrinsic Dimensionality and Tail Entropy. SISAP (2021)
Michael E. Houle
Local Intrinsic Dimensionality III: Density and Similarity. SISAP (2020)
Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. CoRR (2019)
Laurent Amsaleg, Oussama Chelly, Michael E. Houle, Ken-ichi Kawarabayashi, Milos Radovanovic, Weeris Treeratanajaru
Intrinsic Dimensionality Estimation within Tight Localities. SDM (2019)
Brankica Bratic, Michael E. Houle, Vladimir Kurbalija, Vincent Oria, Milos Radovanovic
The Influence of Hubness on NN-Descent. Int. J. Artif. Intell. Tools 28 (6) (2019)
Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek
Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation. CoRR (2019)
Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle
Improving the Quality of Explanations with Local Embedding Perturbations. KDD (2019)
Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek
Subspace Determination Through Local Intrinsic Dimensional Decomposition. SISAP (2019)
Laurent Amsaleg, Michael E. Houle, Erich Schubert
Introduction to Special Issue of the 9th International Conference on Similarity Search and Applications (SISAP 2016). Inf. Syst. 80 (2019)
Michael E. Houle, Erich Schubert, Arthur Zimek
On the Correlation Between Local Intrinsic Dimensionality and Outlierness. SISAP (2018)
Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Michael E. Houle, Grant Schoenebeck, Dawn Song, James Bailey
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. CoRR (2018)
Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey
Dimensionality-Driven Learning with Noisy Labels. ICML (2018)
Lorenzo von Ritter, Michael E. Houle, Stephan Günnemann
Intrinsic Degree: An Estimator of the Local Growth Rate in Graphs. SISAP (2018)
Michael E. Houle, Vincent Oria, Kurt Rohloff, Arwa M. Wali
LID-Fingerprint: A Local Intrinsic Dimensionality-Based Fingerprinting Method. SISAP (2018)
Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. ICLR (2018)
Brankica Bratic, Michael E. Houle, Vladimir Kurbalija, Vincent Oria, Milos Radovanovic
NN-Descent on High-Dimensional Data. WIMS (2018)
Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey
Dimensionality-Driven Learning with Noisy Labels. CoRR (2018)
Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett
Extreme-value-theoretic estimation of local intrinsic dimensionality. Data Min. Knowl. Discov. 32 (6) (2018)
Michael E. Houle, Vincent Oria, Arwa M. Wali
Improving k-NN Graph Accuracy Using Local Intrinsic Dimensionality. SISAP (2017)
Michael E. Houle
Local Intrinsic Dimensionality II: Multivariate Analysis and Distributional Support. SISAP (2017)
Michael E. Houle
Local Intrinsic Dimensionality I: An Extreme-Value-Theoretic Foundation for Similarity Applications. SISAP (2017)
Guillaume Casanova, Elias Englmeier, Michael E. Houle, Peer Kröger, Michael Nett, Erich Schubert, Arthur Zimek
Dimensional Testing for Reverse k-Nearest Neighbor Search. Proc. VLDB Endow. 10 (7) (2017)
Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
Query Expansion for Content-Based Similarity Search Using Local and Global Features. ACM Trans. Multim. Comput. Commun. Appl. 13 (3) (2017)
Laurent Amsaleg, James Bailey, Dominique Barbe, Sarah M. Erfani, Michael E. Houle, Vinh Nguyen, Milos Radovanovic
The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality. WIFS (2017)
Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
Efficient similarity search within user-specified projective subspaces. Inf. Syst. 59 (2016)
Kamil Krynicki, Michael E. Houle, Javier Jaen
An efficient ant colony optimization strategy for the resolution of multi-class queries. Knowl. Based Syst. 105 (2016)
Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Discov. 30 (4) (2016)
Simone Romano, Oussama Chelly, Vinh Nguyen, James Bailey, Michael E. Houle
Measuring dependency via intrinsic dimensionality. ICPR (2016)
Laurent Amsaleg, Michael E. Houle, Vincent Oria, Arthur Zimek
Dimensionality and Scalability II: Hands-On Intrinsic Dimensionality (NII Shonan Meeting 2015-9). NII Shonan Meet. Rep. 2015 (2015)
Kamil Krynicki, Michael E. Houle, Javier Jaen
A Non-hybrid Ant Colony Optimization Heuristic for Convergence Quality. SMC (2015)
Michael E. Houle, Michael Nett
Rank-Based Similarity Search: Reducing the Dimensional Dependence. IEEE Trans. Pattern Anal. Mach. Intell. 37 (1) (2015)
Michael E. Houle, Xiguo Ma, Vincent Oria
Effective and Efficient Algorithms for Flexible Aggregate Similarity Search in High Dimensional Spaces. IEEE Trans. Knowl. Data Eng. 27 (12) (2015)
Michael E. Houle, Xiguo Ma, Vincent Oria
Flexible Aggregate Similarity Search in High-Dimensional Data Sets. SISAP (2015)
Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett
Estimating Local Intrinsic Dimensionality. KDD (2015)
Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
Improving the Quality of K-NN Graphs for Image Databases through Vector Sparsification. ICMR (2014)
Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
Improving the quality of K-NN graphs through vector sparsification: application to image databases. Int. J. Multim. Inf. Retr. 3 (4) (2014)
Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
Efficient Algorithms for Similarity Search in Axis-Aligned Subspaces. SISAP (2014)
Agni Delvinioti, Hervé Jégou, Laurent Amsaleg, Michael E. Houle
Image Retrieval with Reciprocal and Shared Nearest Neighbors. VISAPP (2) (2014)
Michael E. Houle, Vincent Oria, Arthur Zimek
Dimensionality and Scalability (NII Shonan Meeting 2013-4). NII Shonan Meet. Rep. 2013 (2013)
Michael E. Houle
Dimensionality, Discriminability, Density and Distance Distributions. ICDM Workshops (2013)
Michael E. Houle, Vincent Oria, Shin'ichi Satoh, Jichao Sun
Annotation propagation in image databases using similarity graphs. ACM Trans. Multim. Comput. Commun. Appl. 10 (1) (2013)
Michael E. Houle, Michael Nett
Rank Cover Trees for Nearest Neighbor Search. SISAP (2013)
Jeffrey Chan, James Bailey, Christopher Leckie, Michael E. Houle
ciForager: Incrementally discovering regions of correlated change in evolving graphs. ACM Trans. Knowl. Discov. Data 6 (3) (2012)
Michael E. Houle, Xiguo Ma, Michael Nett, Vincent Oria
Dimensional Testing for Multi-step Similarity Search. ICDM (2012)
Michael E. Houle, Hisashi Kashima, Michael Nett
Generalized Expansion Dimension. ICDM Workshops (2012)
Michael E. Houle, Hisashi Kashima, Michael Nett
Fast Similarity Computation in Factorized Tensors. SISAP (2012)
Timothy de Vries, Sanjay Chawla, Michael E. Houle
Density-preserving projections for large-scale local anomaly detection. Knowl. Inf. Syst. 32 (1) (2012)
Michael E. Houle
Combinatorial Approaches to Clustering and Feature Selection. MultiClust@ECML/PKDD (2011)
Michael E. Houle, Vincent Oria, Shin'ichi Satoh, Jichao Sun
Knowledge propagation in large image databases using neighborhood information. ACM Multimedia (2011)
Thomas Bernecker, Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek
Quality of Similarity Rankings in Time Series. SSTD (2011)
Shinichi Honiden, Michael E. Houle, Christian Sommer, Martin Wolff
Approximate Shortest Path Queries Using Voronoi Duals. Trans. Comput. Sci. 9 (2010)
Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? SSDBM (2010)
Xuan Vinh Nguyen, Michael E. Houle
A Set Correlation Model for Partitional Clustering. PAKDD (1) (2010)
Timothy de Vries, Sanjay Chawla, Michael E. Houle
Finding Local Anomalies in Very High Dimensional Space. ICDM (2010)
Michael E. Houle, Vincent Oria, Umar Qasim
Active caching for similarity queries based on shared-neighbor information. CIKM (2010)
Shinichi Honiden, Michael E. Houle, Christian Sommer, Martin Wolff
Approximate Shortest Path Queries in Graphs Using Voronoi Duals. ISVD (2009)
Duy-Dinh Le, Sébastien Poullot, Xiaomeng Wu, Michael Nett, Michael E. Houle, Shinichi Satoh, Michel Crucianu
National Institute of Informatics, Japan at TRECVID 2009. TRECVID (2009)
Umar Qasim, Vincent Oria, Yi-fang Brook Wu, Michael E. Houle, M. Tamer Özsu
A partial-order based active cache for recommender systems. RecSys (2009)
Shinichi Honiden, Michael E. Houle, Christian Sommer
Balancing Graph Voronoi Diagrams. ISVD (2009)
Michael E. Houle
The Relevant-Set Correlation Model for Data Clustering. Stat. Anal. Data Min. 1 (3) (2008)
Michael E. Houle
The Relevant-set Correlation Model for Data Clustering. SDM (2008)
Nizar Grira, Michael E. Houle
Best of both: a hybridized centroid-medoid clustering heuristic. ICML (2007)
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle, Dat Phuoc Tat Nguyen
Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis. ICDE Workshops (2007)
Michael E. Houle, Nizar Grira
A correlation-based model for unsupervised feature selection. CIKM (2007)
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle
Boosting Face Retrieval by using Relevant Set Correlation Clustering. ICME (2007)
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle
Face Retrieval in Broadcasting News Video by Fusing Temporal and Intensity Information. CIVR (2006)
Michael E. Houle, Ferran Hurtado, Marc Noy, Eduardo Rivera-Campo
Graphs of Triangulations and Perfect Matchings. Graphs Comb. 21 (3) (2005)
Michael E. Houle, Jun Sakuma
Fast Approximate Similarity Search in Extremely High-Dimensional Data Sets. ICDE (2005)
Michael E. Houle, Antonios Symvonis, David R. Wood
Dimension-exchange algorithms for token distribution on tree-connected architectures. J. Parallel Distributed Comput. 64 (5) (2004)
Michael E. Houle
Navigating massive data sets via local clustering. KDD (2003)
Yasuhiko Morimoto, Masaki Aono, Michael E. Houle, Kevin S. McCurley
Extracting Spatial Knowledge from the Web. SAINT (2003)
Michael E. Houle, Antonios Symvonis, David R. Wood
Dimension-Exchange Algorithms for Load Balancing on Trees. SIROCCO (2002)
M. Carmen Hernando, Michael E. Houle, Ferran Hurtado
On local transformation of polygons with visibility properties. Theor. Comput. Sci. 289 (2) (2002)
Carsten Friedrich, Michael E. Houle
Graph Drawing in Motion II. Graph Drawing (2001)
Vladimir Estivill-Castro, Michael E. Houle
Robust Distance-Based Clustering with Applications to Spatial Data Mining. Algorithmica 30 (2) (2001)
Prosenjit Bose, Michael E. Houle, Godfried T. Toussaint
Every Set of Disjoint Line Segments Admits a Binary Tree. Discret. Comput. Geom. 26 (3) (2001)
Kevin Pulo, Michael E. Houle
Evaluation of Virtual World Systems. Australian Software Engineering Conference (2001)
Tim Menzies, John D. Powell, Michael E. Houle
Fast Formal Analysis of Requirements via "Topoi Diagrams". ICSE (2001)
Vladimir Estivill-Castro, Michael E. Houle
Data Structures for Minimization of Total Within-Group Distance for Spatio-temporal Clustering. PKDD (2001)
M. Carmen Hernando, Michael E. Houle, Ferran Hurtado
On Local Transformation of Polygons with Visibility Properties. COCOON (2000)
Vladimir Estivill-Castro, Michael E. Houle
Fast Randomized Algorithms for Robust Estimation of Location. TSDM (2000)
Vladimir Estivill-Castro, Michael E. Houle
Robust Clustering of Large Geo-referenced Data Sets. PAKDD (1999)
Binay K. Bhattacharya, Michael E. Houle
Generalized Maximum Independent Sets for Trees in Subquadratic Time. ISAAC (1999)
Michael E. Houle, Ewan D. Tempero, Gavin Turner
Optimal Dimension-Exchange Token Distribution on Complete Binary Trees. Theor. Comput. Sci. 220 (2) (1999)
Vladimir Estivill-Castro, Michael E. Houle
Robust Clustering of Large Data Sets with Categorial Attributes. Australasian Database Conference (1999)
Michael E. Houle, Gavin Turner
Dimension-Exchange Token Distribution on the Mesh and the Torus. Parallel Comput. 24 (2) (1998)
Prosenjit Bose, Hazel Everett, Sándor P. Fekete, Michael E. Houle, Anna Lubiw, Henk Meijer, Kathleen Romanik, Günter Rote, Thomas C. Shermer, Sue Whitesides, Christian Zelle
A Visibility Representation for Graphs in Three Dimensions. J. Graph Algorithms Appl. 2 (3) (1998)
Michael E. Houle, Richard Webber
Approximation Algorithms for Finding Best Viewpoints. Graph Drawing (1998)
Peter Eades, Michael E. Houle, Richard Webber
Finding the Best Viewpoints for Three-Dimensional Graph Drawings. Graph Drawing (1997)
Sándor P. Fekete, Michael E. Houle, Sue Whitesides
The Wobbly Logic Engine: Proving Hardness of Non-rigid Geometric Graph Representation Problems. Graph Drawing (1997)
Michael E. Houle
Ethics, programming, and virtual environments. ITiCSE (1997)
Michael E. Houle, Gavin Turner
Dimension-Exchange Token Distribution on the Mesh and the Torus. ISAAC (1996)

Michael E. Houle.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael E. Houle