Michael E. Houle

122 papers A* 11A 13B 31Misc 2Journal 45Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Bayesian framework for robust local intrinsic dimensionality estimation. Inf. Syst. Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey
2026	J	`jnl`	Local intrinsic dimensionality and the estimation of convergence order. Inf. Syst. Michael E. Houle, Vincent Oria, Hamideh Sabaei
2026	J	`jnl`	On the Use of Bagging for Local Intrinsic Dimensionality Estimation. CoRR Kristóf Péter, Ricardo J. G. B. Campello, James Bailey, Michael E. Houle
2025	B	`conf`	Efficient Local Intrinsic Dimensionality Estimation in Evolving Deep Representations. SISAP Michael E. Houle, Vincent Oria, Hao Xu
2025	B	`conf`	Intrinsic Dimension, Degrees of Freedom, Odds and Uniformity: A Unified Perspective. SISAP James Bailey, Ricardo J. G. B. Campello, Michael E. Houle
2024	B	`conf`	Bayesian Estimation Approaches for Local Intrinsic Dimensionality. SISAP Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey
2024	A	`conf`	Dimensionality-Aware Outlier Detection. SDM Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek
2024	J	`jnl`	Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis. CoRR Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek
2024	A*	`conf`	LDReg: Local Dimensionality Regularized Self-Supervised Learning. ICLR Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
2024	J	`jnl`	LDReg: Local Dimensionality Regularized Self-Supervised Learning. CoRR Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
2024	B	`conf`	Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration. SISAP Michael E. Houle, Vincent Oria, Hamideh Sabaei
2023	J	`jnl`	Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation. Inf. Syst. James Bailey, Michael E. Houle, Xingjun Ma
2022	J	`jnl`	Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental Analysis. CoRR Laurent Amsaleg, Oussama Chelly, Michael E. Houle, Ken-ichi Kawarabayashi, Milos Radovanovic, Weeris Treeratanajaru
2022	J	`jnl`	Local Intrinsic Dimensionality, Entropy and Statistical Divergences. Entropy James Bailey, Michael E. Houle, Xingjun Ma
2021	A	`conf`	A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. SDM Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle
2021	J	`jnl`	High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence. IEEE Trans. Inf. Forensics Secur. Laurent Amsaleg, James Bailey, Amélie Barbe, Sarah M. Erfani, Teddy Furon, Michael E. Houle, Milos Radovanovic, Xuan Vinh Nguyen
2021	B	`conf`	Relationships Between Local Intrinsic Dimensionality and Tail Entropy. SISAP James Bailey, Michael E. Houle, Xingjun Ma
2021	B	`conf`	The Effect of Random Projection on Local Intrinsic Dimensionality. SISAP Michael E. Houle, Ken-ichi Kawarabayashi
2020	B	`conf`	Local Intrinsic Dimensionality III: Density and Similarity. SISAP Michael E. Houle
2019	A*	`conf`	Improving the Quality of Explanations with Local Embedding Perturbations. KDD Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle
2019	A	`conf`	Intrinsic Dimensionality Estimation within Tight Localities. SDM Laurent Amsaleg, Oussama Chelly, Michael E. Houle, Ken-ichi Kawarabayashi, Milos Radovanovic, Weeris Treeratanajaru
2019	J	`jnl`	Introduction to Special Issue of the 9th International Conference on Similarity Search and Applications (SISAP 2016). Inf. Syst. Laurent Amsaleg, Michael E. Houle, Erich Schubert
2019	J	`jnl`	Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. CoRR Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey
2019	B	`conf`	Subspace Determination Through Local Intrinsic Dimensional Decomposition. SISAP Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek
2019	J	`jnl`	Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation. CoRR Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek
2019	J	`jnl`	The Influence of Hubness on NN-Descent. Int. J. Artif. Intell. Tools Brankica Bratic, Michael E. Houle, Vladimir Kurbalija, Vincent Oria, Milos Radovanovic
2018	—	`conf`	Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. ICLR Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey
2018	J	`jnl`	Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. CoRR Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Michael E. Houle, Grant Schoenebeck, Dawn Song, James Bailey
2018	A*	`conf`	Dimensionality-Driven Learning with Noisy Labels. ICML Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey
2018	J	`jnl`	Dimensionality-Driven Learning with Noisy Labels. CoRR Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey
2018	J	`jnl`	Extreme-value-theoretic estimation of local intrinsic dimensionality. Data Min. Knowl. Discov. Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett
2018	B	`conf`	Intrinsic Degree: An Estimator of the Local Growth Rate in Graphs. SISAP Lorenzo von Ritter, Michael E. Houle, Stephan Günnemann
2018	B	`conf`	LID-Fingerprint: A Local Intrinsic Dimensionality-Based Fingerprinting Method. SISAP Michael E. Houle, Vincent Oria, Kurt Rohloff, Arwa M. Wali
2018	—	`conf`	NN-Descent on High-Dimensional Data. WIMS Brankica Bratic, Michael E. Houle, Vladimir Kurbalija, Vincent Oria, Milos Radovanovic
2018	B	`conf`	On the Correlation Between Local Intrinsic Dimensionality and Outlierness. SISAP Michael E. Houle, Erich Schubert, Arthur Zimek
2017	J	`jnl`	Dimensional Testing for Reverse k-Nearest Neighbor Search. Proc. VLDB Endow. Guillaume Casanova, Elias Englmeier, Michael E. Houle, Peer Kröger, Michael Nett, Erich Schubert, Arthur Zimek
2017	B	`conf`	Improving k-NN Graph Accuracy Using Local Intrinsic Dimensionality. SISAP Michael E. Houle, Vincent Oria, Arwa M. Wali
2017	B	`conf`	Local Intrinsic Dimensionality I: An Extreme-Value-Theoretic Foundation for Similarity Applications. SISAP Michael E. Houle
2017	B	`conf`	Local Intrinsic Dimensionality II: Multivariate Analysis and Distributional Support. SISAP Michael E. Houle
2017	J	`jnl`	Query Expansion for Content-Based Similarity Search Using Local and Global Features. ACM Trans. Multim. Comput. Commun. Appl. Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
2017	—	`conf`	The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality. WIFS Laurent Amsaleg, James Bailey, Dominique Barbe, Sarah M. Erfani, Michael E. Houle, Vinh Nguyen, Milos Radovanovic
2016	J	`jnl`	An efficient ant colony optimization strategy for the resolution of multi-class queries. Knowl. Based Syst. Kamil Krynicki, Michael E. Houle, Javier Jaen
2016	J	`jnl`	Efficient similarity search within user-specified projective subspaces. Inf. Syst. Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
2016	B	`conf`	Measuring dependency via intrinsic dimensionality. ICPR Simone Romano, Oussama Chelly, Vinh Nguyen, James Bailey, Michael E. Houle
2016	J	`jnl`	On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Discov. Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle
2016	B	`ed.`	Similarity Search and Applications - 9th International Conference, SISAP 2016, Tokyo, Japan, October 24-26, 2016. Proceedings SISAP Laurent Amsaleg, Michael E. Houle, Erich Schubert
2015	B	`conf`	A Non-hybrid Ant Colony Optimization Heuristic for Convergence Quality. SMC Kamil Krynicki, Michael E. Houle, Javier Jaen
2015	J	`jnl`	Dimensionality and Scalability II: Hands-On Intrinsic Dimensionality (NII Shonan Meeting 2015-9). NII Shonan Meet. Rep. Laurent Amsaleg, Michael E. Houle, Vincent Oria, Arthur Zimek
2015	J	`jnl`	Effective and Efficient Algorithms for Flexible Aggregate Similarity Search in High Dimensional Spaces. IEEE Trans. Knowl. Data Eng. Michael E. Houle, Xiguo Ma, Vincent Oria
2015	A*	`conf`	Estimating Local Intrinsic Dimensionality. KDD Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett
2015	B	`conf`	Flexible Aggregate Similarity Search in High-Dimensional Data Sets. SISAP Michael E. Houle, Xiguo Ma, Vincent Oria
2015	J	`jnl`	Rank-Based Similarity Search: Reducing the Dimensional Dependence. IEEE Trans. Pattern Anal. Mach. Intell. Michael E. Houle, Michael Nett
2014	B	`conf`	Efficient Algorithms for Similarity Search in Axis-Aligned Subspaces. SISAP Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
2014	—	`conf`	Image Retrieval with Reciprocal and Shared Nearest Neighbors. VISAPP (2) Agni Delvinioti, Hervé Jégou, Laurent Amsaleg, Michael E. Houle
2014	B	`conf`	Improving the Quality of K-NN Graphs for Image Databases through Vector Sparsification. ICMR Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
2014	J	`jnl`	Improving the quality of K-NN graphs through vector sparsification: application to image databases. Int. J. Multim. Inf. Retr. Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
2014	—	`ch.`	Multimedia Databases: Description, Analysis, Modeling, and Retrieval. Computing Handbook, 3rd ed. (2) Vincent Oria, Ying Li, Chitra Dorai, Michael E. Houle
2013	J	`jnl`	Annotation propagation in image databases using similarity graphs. ACM Trans. Multim. Comput. Commun. Appl. Michael E. Houle, Vincent Oria, Shin'ichi Satoh, Jichao Sun
2013	J	`jnl`	Dimensionality and Scalability (NII Shonan Meeting 2013-4). NII Shonan Meet. Rep. Michael E. Houle, Vincent Oria, Arthur Zimek
2013	—	`conf`	Dimensionality, Discriminability, Density and Distance Distributions. ICDM Workshops Michael E. Houle
2013	B	`conf`	Rank Cover Trees for Nearest Neighbor Search. SISAP Michael E. Houle, Michael Nett
2012	J	`jnl`	Density-preserving projections for large-scale local anomaly detection. Knowl. Inf. Syst. Timothy de Vries, Sanjay Chawla, Michael E. Houle
2012	A*	`conf`	Dimensional Testing for Multi-step Similarity Search. ICDM Michael E. Houle, Xiguo Ma, Michael Nett, Vincent Oria
2012	B	`conf`	Fast Similarity Computation in Factorized Tensors. SISAP Michael E. Houle, Hisashi Kashima, Michael Nett
2012	—	`conf`	Generalized Expansion Dimension. ICDM Workshops Michael E. Houle, Hisashi Kashima, Michael Nett
2012	J	`jnl`	ciForager: Incrementally discovering regions of correlated change in evolving graphs. ACM Trans. Knowl. Discov. Data Jeffrey Chan, James Bailey, Christopher Leckie, Michael E. Houle
2011	—	`conf`	Combinatorial Approaches to Clustering and Feature Selection. MultiClust@ECML/PKDD Michael E. Houle
2011	A*	`conf`	Knowledge propagation in large image databases using neighborhood information. ACM Multimedia Michael E. Houle, Vincent Oria, Shin'ichi Satoh, Jichao Sun
2011	B	`conf`	Quality of Similarity Rankings in Time Series. SSTD Thomas Bernecker, Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek
2010	—	`conf`	A Set Correlation Model for Partitional Clustering. PAKDD (1) Xuan Vinh Nguyen, Michael E. Houle
2010	A	`conf`	Active caching for similarity queries based on shared-neighbor information. CIKM Michael E. Houle, Vincent Oria, Umar Qasim
2010	J	`jnl`	Approximate Shortest Path Queries Using Voronoi Duals. Trans. Comput. Sci. Shinichi Honiden, Michael E. Houle, Christian Sommer, Martin Wolff
2010	B	`conf`	Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? SSDBM Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2010	A*	`conf`	Finding Local Anomalies in Very High Dimensional Space. ICDM Timothy de Vries, Sanjay Chawla, Michael E. Houle
2009	A	`conf`	A partial-order based active cache for recommender systems. RecSys Umar Qasim, Vincent Oria, Yi-fang Brook Wu, Michael E. Houle, M. Tamer Özsu
2009	—	`conf`	Approximate Shortest Path Queries in Graphs Using Voronoi Duals. ISVD Shinichi Honiden, Michael E. Houle, Christian Sommer, Martin Wolff
2009	—	`conf`	Balancing Graph Voronoi Diagrams. ISVD Shinichi Honiden, Michael E. Houle, Christian Sommer
2009	—	`conf`	National Institute of Informatics, Japan at TRECVID 2009. TRECVID Duy-Dinh Le, Sébastien Poullot, Xiaomeng Wu, Michael Nett, Michael E. Houle, Shinichi Satoh, Michel Crucianu
2008	J	`jnl`	The Relevant-Set Correlation Model for Data Clustering. Stat. Anal. Data Min. Michael E. Houle
2008	A	`conf`	The Relevant-set Correlation Model for Data Clustering. SDM Michael E. Houle
2007	A	`conf`	A correlation-based model for unsupervised feature selection. CIKM Michael E. Houle, Nizar Grira
2007	A*	`conf`	Best of both: a hybridized centroid-medoid clustering heuristic. ICML Nizar Grira, Michael E. Houle
2007	A	`conf`	Boosting Face Retrieval by using Relevant Set Correlation Clustering. ICME Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle
2007	—	`conf`	Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis. ICDE Workshops Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle, Dat Phuoc Tat Nguyen
2006	—	`conf`	Face Retrieval in Broadcasting News Video by Fusing Temporal and Intensity Information. CIVR Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle
2005	A*	`conf`	Fast Approximate Similarity Search in Extremely High-Dimensional Data Sets. ICDE Michael E. Houle, Jun Sakuma
2005	J	`jnl`	Graphs of Triangulations and Perfect Matchings. Graphs Comb. Michael E. Houle, Ferran Hurtado, Marc Noy, Eduardo Rivera-Campo
2004	J	`jnl`	Dimension-exchange algorithms for token distribution on tree-connected architectures. J. Parallel Distributed Comput. Michael E. Houle, Antonios Symvonis, David R. Wood
2003	—	`conf`	Extracting Spatial Knowledge from the Web. SAINT Yasuhiko Morimoto, Masaki Aono, Michael E. Houle, Kevin S. McCurley
2003	A*	`conf`	Navigating massive data sets via local clustering. KDD Michael E. Houle
2002	B	`conf`	Dimension-Exchange Algorithms for Load Balancing on Trees. SIROCCO Michael E. Houle, Antonios Symvonis, David R. Wood
2002	J	`jnl`	On local transformation of polygons with visibility properties. Theor. Comput. Sci. M. Carmen Hernando, Michael E. Houle, Ferran Hurtado
2001	—	`conf`	Data Structures for Minimization of Total Within-Group Distance for Spatio-temporal Clustering. PKDD Vladimir Estivill-Castro, Michael E. Houle
2001	—	`conf`	Evaluation of Virtual World Systems. Australian Software Engineering Conference Kevin Pulo, Michael E. Houle
2001	J	`jnl`	Every Set of Disjoint Line Segments Admits a Binary Tree. Discret. Comput. Geom. Prosenjit Bose, Michael E. Houle, Godfried T. Toussaint
2001	A*	`conf`	Fast Formal Analysis of Requirements via "Topoi Diagrams". ICSE Tim Menzies, John D. Powell, Michael E. Houle
2001	A	`conf`	Graph Drawing in Motion II. GD Carsten Friedrich, Michael E. Houle
2001	J	`jnl`	Robust Distance-Based Clustering with Applications to Spatial Data Mining. Algorithmica Vladimir Estivill-Castro, Michael E. Houle
2000	—	`conf`	Fast Randomized Algorithms for Robust Estimation of Location. TSDM Vladimir Estivill-Castro, Michael E. Houle
2000	Misc	`conf`	On Local Transformation of Polygons with Visibility Properties. COCOON M. Carmen Hernando, Michael E. Houle, Ferran Hurtado
1999	B	`conf`	Generalized Maximum Independent Sets for Trees in Subquadratic Time. ISAAC Binay K. Bhattacharya, Michael E. Houle
1999	J	`jnl`	Optimal Dimension-Exchange Token Distribution on Complete Binary Trees. Theor. Comput. Sci. Michael E. Houle, Ewan D. Tempero, Gavin Turner
1999	Misc	`conf`	Robust Clustering of Large Data Sets with Categorial Attributes. Australasian Database Conference Vladimir Estivill-Castro, Michael E. Houle
1999	B	`conf`	Robust Clustering of Large Geo-referenced Data Sets. PAKDD Vladimir Estivill-Castro, Michael E. Houle
1998	J	`jnl`	A Visibility Representation for Graphs in Three Dimensions. J. Graph Algorithms Appl. 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
1998	A	`conf`	Approximation Algorithms for Finding Best Viewpoints. GD Michael E. Houle, Richard Webber
1998	J	`jnl`	Dimension-Exchange Token Distribution on the Mesh and the Torus. Parallel Comput. Michael E. Houle, Gavin Turner
1997	B	`conf`	Ethics, programming, and virtual environments. ITiCSE Michael E. Houle
1997	A	`conf`	Finding the Best Viewpoints for Three-Dimensional Graph Drawings. GD Peter Eades, Michael E. Houle, Richard Webber
1997	A	`conf`	The Wobbly Logic Engine: Proving Hardness of Non-rigid Geometric Graph Representation Problems. GD Sándor P. Fekete, Michael E. Houle, Sue Whitesides
1996	B	`conf`	Dimension-Exchange Token Distribution on the Mesh and the Torus. ISAAC Michael E. Houle, Gavin Turner
1995	J	`jnl`	Computational aspects of Helly's theorem and its relatives. Int. J. Comput. Geom. Appl. David Avis, Michael E. Houle
1995	A	`conf`	New Results on a Visibility Representation of Graphs in 3D. GD Sándor P. Fekete, Michael E. Houle, Sue Whitesides
1994	B	`conf`	Every Set of Disjoint Line Segments Admits a Binary Tree. ISAAC Prosenjit Bose, Michael E. Houle, Godfried T. Toussaint
1993	J	`jnl`	Algorithms for Weak and Wide Separation of Sets. Discret. Appl. Math. Michael E. Houle
1993	—	`conf`	Dominance Drawings of Bipartite Graphs. CCCG Hossam A. ElGindy, Michael E. Houle, William J. Lenhart, Mirka Miller, David Rappaport, Sue Whitesides
1993	J	`jnl`	Orthogonal Weighted Linear Discret. Appl. Math. Michael E. Houle, Hiroshi Imai, Keiko Imai, Jean-Marc Robert, Peter Yamamoto
1993	J	`jnl`	The steiner problem in distributed computing systems. Inf. Sci. Gen-Huey Chen, Michael E. Houle, Ming-Ter Kuo
1991	J	`jnl`	Theorems on the Existence of Separating Surfaces. Discret. Comput. Geom. Michael E. Houle
1989	B	`conf`	Weighted Orthogonal Linear L WADS Michael E. Houle, Hiroshi Imai, Keiko Imai, Jean-Marc Robert
1988	J	`jnl`	Computing the Width of a Set. IEEE Trans. Pattern Anal. Mach. Intell. Michael E. Houle, Godfried T. Toussaint
1985	—	`conf`	Computating the width of a set. SCG Michael E. Houle, Godfried T. Toussaint