Computating the width of a set. - Michael E. Houle; Godfried T. Toussaint (SCG, 1985)

Computing the Width of a Set. - Michael E. Houle; Godfried T. Toussaint (IEEE Trans. Pattern Anal. Mach. Intell., 1988)

Weighted Orthogonal Linear L∞-Approximation and Applications. - Michael E. Houle; Hiroshi Imai; Keiko Imai; Jean-Marc Robert 001 (WADS, 1989)

Theorems on the Existence of Separating Surfaces. - Michael E. Houle (Discret. Comput. Geom., 1991)

Dominance Drawings of Bipartite Graphs. - Hossam A. ElGindy; Michael E. Houle; William J. Lenhart; Mirka Miller; David Rappaport; Sue Whitesides (CCCG, 1993)

Algorithms for Weak and Wide Separation of Sets. - Michael E. Houle (Discret. Appl. Math., 1993)

Orthogonal Weighted Linear L1 and L∞ Approximation and Applications. - Michael E. Houle; Hiroshi Imai; Keiko Imai; Jean-Marc Robert 001; Peter Yamamoto (Discret. Appl. Math., 1993)

The steiner problem in distributed computing systems. - Gen-Huey Chen; Michael E. Houle; Ming-Ter Kuo (Inf. Sci., 1993)

New Results on a Visibility Representation of Graphs in 3D. - Sándor P. Fekete; Michael E. Houle; Sue Whitesides (GD, 1995)

Computational aspects of Helly's theorem and its relatives. - David Avis; Michael E. Houle (Int. J. Comput. Geom. Appl., 1995)

Finding the Best Viewpoints for Three-Dimensional Graph Drawings. - Peter Eades; Michael E. Houle; Richard Webber (GD, 1997)

The Wobbly Logic Engine: Proving Hardness of Non-rigid Geometric Graph Representation Problems. - Sándor P. Fekete; Michael E. Houle; Sue Whitesides (GD, 1997)

Ethics, programming, and virtual environments. - Michael E. Houle (ITiCSE, 1997)

Approximation Algorithms for Finding Best Viewpoints. - Michael E. Houle; Richard Webber (GD, 1998)

A Visibility Representation for Graphs in Three Dimensions. - 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 (J. Graph Algorithms Appl., 1998)

Dimension-Exchange Token Distribution on the Mesh and the Torus. - Michael E. Houle; Gavin Turner (Parallel Comput., 1998)

Robust Clustering of Large Data Sets with Categorial Attributes. - Vladimir Estivill-Castro; Michael E. Houle (Australasian Database Conference, 1999)

Generalized Maximum Independent Sets for Trees in Subquadratic Time. - Binay K. Bhattacharya; Michael E. Houle (ISAAC, 1999)

Robust Clustering of Large Geo-referenced Data Sets. - Vladimir Estivill-Castro; Michael E. Houle (PAKDD, 1999)

Optimal Dimension-Exchange Token Distribution on Complete Binary Trees. - Michael E. Houle; Ewan D. Tempero; Gavin Turner (Theor. Comput. Sci., 1999)

Fast Randomized Algorithms for Robust Estimation of Location. - Vladimir Estivill-Castro; Michael E. Houle (TSDM, 2000)

Evaluation of Virtual World Systems. - Kevin Pulo; Michael E. Houle (Australian Software Engineering Conference, 2001)

Graph Drawing in Motion II. - Carsten Friedrich; Michael E. Houle (GD, 2001)

Fast Formal Analysis of Requirements via "Topoi Diagrams". - Tim Menzies; John D. Powell; Michael E. Houle (ICSE, 2001)

Data Structures for Minimization of Total Within-Group Distance for Spatio-temporal Clustering. - Vladimir Estivill-Castro; Michael E. Houle (PKDD, 2001)

Robust Distance-Based Clustering with Applications to Spatial Data Mining. - Vladimir Estivill-Castro; Michael E. Houle (Algorithmica, 2001)

Every Set of Disjoint Line Segments Admits a Binary Tree. - Prosenjit Bose; Michael E. Houle; Godfried T. Toussaint (Discret. Comput. Geom., 2001)

Dimension-Exchange Algorithms for Load Balancing on Trees. - Michael E. Houle; Antonios Symvonis; David R. Wood (SIROCCO, 2002)

On local transformation of polygons with visibility properties. - M. Carmen Hernando; Michael E. Houle; Ferran Hurtado (Theor. Comput. Sci., 2002)

Navigating massive data sets via local clustering. - Michael E. Houle (KDD, 2003)

Extracting Spatial Knowledge from the Web. - Yasuhiko Morimoto; Masaki Aono; Michael E. Houle; Kevin S. McCurley (SAINT, 2003)

Dimension-exchange algorithms for token distribution on tree-connected architectures. - Michael E. Houle; Antonios Symvonis; David R. Wood (J. Parallel Distributed Comput., 2004)

Fast Approximate Similarity Search in Extremely High-Dimensional Data Sets. - Michael E. Houle; Jun Sakuma (ICDE, 2005)

Graphs of Triangulations and Perfect Matchings. - Michael E. Houle; Ferran Hurtado; Marc Noy; Eduardo Rivera-Campo (Graphs Comb., 2005)

Face Retrieval in Broadcasting News Video by Fusing Temporal and Intensity Information. - Duy-Dinh Le; Shin'ichi Satoh 001; Michael E. Houle (CIVR, 2006)

A correlation-based model for unsupervised feature selection. - Michael E. Houle; Nizar Grira (CIKM, 2007)

Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis. - Duy-Dinh Le; Shin'ichi Satoh 001; Michael E. Houle; Dat Phuoc Tat Nguyen (ICDE Workshops, 2007)

Boosting Face Retrieval by using Relevant Set Correlation Clustering. - Duy-Dinh Le; Shin'ichi Satoh 001; Michael E. Houle (ICME, 2007)

Best of both: a hybridized centroid-medoid clustering heuristic. - Nizar Grira; Michael E. Houle (ICML, 2007)

The Relevant-Set Correlation Model for Data Clustering. - Michael E. Houle (Stat. Anal. Data Min., 2008)

Balancing Graph Voronoi Diagrams. - Shinichi Honiden; Michael E. Houle; Christian Sommer 001 (ISVD, 2009)

Approximate Shortest Path Queries in Graphs Using Voronoi Duals. - Shinichi Honiden; Michael E. Houle; Christian Sommer 001; Martin Wolff (ISVD, 2009)

A partial-order based active cache for recommender systems. - Umar Qasim; Vincent Oria; Yi-fang Brook Wu; Michael E. Houle; M. Tamer Özsu (RecSys, 2009)

National Institute of Informatics, Japan at TRECVID 2009. - Duy-Dinh Le; Sébastien Poullot; Xiaomeng Wu; Michael Nett; Michael E. Houle; Shinichi Satoh 001; Michel Crucianu (TRECVID, 2009)

Active caching for similarity queries based on shared-neighbor information. - Michael E. Houle; Vincent Oria; Umar Qasim (CIKM, 2010)

Finding Local Anomalies in Very High Dimensional Space. - Timothy de Vries; Sanjay Chawla; Michael E. Houle (ICDM, 2010)

A Set Correlation Model for Partitional Clustering. - Xuan Vinh Nguyen; Michael E. Houle (PAKDD (1), 2010)

Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? - Michael E. Houle; Hans-Peter Kriegel; Peer Kröger; Erich Schubert; Arthur Zimek (SSDBM, 2010)

Approximate Shortest Path Queries Using Voronoi Duals. - Shinichi Honiden; Michael E. Houle; Christian Sommer 001; Martin Wolff (Trans. Comput. Sci., 2010)

Knowledge propagation in large image databases using neighborhood information. - Michael E. Houle; Vincent Oria; Shin'ichi Satoh 001; Jichao Sun (ACM Multimedia, 2011)

Combinatorial Approaches to Clustering and Feature Selection. - Michael E. Houle (MultiClust@ECML/PKDD, 2011)

Quality of Similarity Rankings in Time Series. - Thomas Bernecker; Michael E. Houle; Hans-Peter Kriegel; Peer Kröger; Matthias Renz; Erich Schubert; Arthur Zimek (SSTD, 2011)

Generalized Expansion Dimension. - Michael E. Houle; Hisashi Kashima; Michael Nett (ICDM Workshops, 2012)

Dimensional Testing for Multi-step Similarity Search. - Michael E. Houle; Xiguo Ma; Michael Nett; Vincent Oria (ICDM, 2012)

Fast Similarity Computation in Factorized Tensors. - Michael E. Houle; Hisashi Kashima; Michael Nett (SISAP, 2012)

Density-preserving projections for large-scale local anomaly detection. - Timothy de Vries; Sanjay Chawla; Michael E. Houle (Knowl. Inf. Syst., 2012)

ciForager: Incrementally discovering regions of correlated change in evolving graphs. - Jeffrey Chan; James Bailey 001; Christopher Leckie; Michael E. Houle (ACM Trans. Knowl. Discov. Data, 2012)

Dimensionality, Discriminability, Density and Distance Distributions. - Michael E. Houle (ICDM Workshops, 2013)

Rank Cover Trees for Nearest Neighbor Search. - Michael E. Houle; Michael Nett (SISAP, 2013)

Dimensionality and Scalability (NII Shonan Meeting 2013-4). - Michael E. Houle; Vincent Oria; Arthur Zimek (NII Shonan Meet. Rep., 2013)

Annotation propagation in image databases using similarity graphs. - Michael E. Houle; Vincent Oria; Shin'ichi Satoh 001; Jichao Sun (ACM Trans. Multim. Comput. Commun. Appl., 2013)

Multimedia Databases: Description, Analysis, Modeling, and Retrieval. - Vincent Oria; Ying Li; Chitra Dorai; Michael E. Houle (Computing Handbook, 3rd ed. (2), 2014)

Improving the Quality of K-NN Graphs for Image Databases through Vector Sparsification. - Michael E. Houle; Xiguo Ma; Vincent Oria; Jichao Sun (ICMR, 2014)

Efficient Algorithms for Similarity Search in Axis-Aligned Subspaces. - Michael E. Houle; Xiguo Ma; Vincent Oria; Jichao Sun (SISAP, 2014)

Image Retrieval with Reciprocal and Shared Nearest Neighbors. - Agni Delvinioti; Hervé Jégou; Laurent Amsaleg; Michael E. Houle (VISAPP (2), 2014)

Improving the quality of K-NN graphs through vector sparsification: application to image databases. - Michael E. Houle; Xiguo Ma; Vincent Oria; Jichao Sun (Int. J. Multim. Inf. Retr., 2014)

Estimating Local Intrinsic Dimensionality. - Laurent Amsaleg; Oussama Chelly; Teddy Furon; Stéphane Girard; Michael E. Houle; Ken-ichi Kawarabayashi; Michael Nett (KDD, 2015)

Flexible Aggregate Similarity Search in High-Dimensional Data Sets. - Michael E. Houle; Xiguo Ma; Vincent Oria (SISAP, 2015)

A Non-hybrid Ant Colony Optimization Heuristic for Convergence Quality. - Kamil Krynicki; Michael E. Houle; Javier Jaen (SMC, 2015)

Rank-Based Similarity Search: Reducing the Dimensional Dependence. - Michael E. Houle; Michael Nett (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Dimensionality and Scalability II: Hands-On Intrinsic Dimensionality (NII Shonan Meeting 2015-9). - Laurent Amsaleg; Michael E. Houle; Vincent Oria; Arthur Zimek (NII Shonan Meet. Rep., 2015)

Effective and Efficient Algorithms for Flexible Aggregate Similarity Search in High Dimensional Spaces. - Michael E. Houle; Xiguo Ma; Vincent Oria (IEEE Trans. Knowl. Data Eng., 2015)

Measuring dependency via intrinsic dimensionality. - Simone Romano 003; Oussama Chelly; Vinh Nguyen; James Bailey 001; Michael E. Houle (ICPR, 2016)

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. - Guilherme Oliveira Campos; Arthur Zimek; Jörg Sander 001; Ricardo J. G. B. Campello; Barbora Micenková; Erich Schubert; Ira Assent; Michael E. Houle (Data Min. Knowl. Discov., 2016)

Efficient similarity search within user-specified projective subspaces. - Michael E. Houle; Xiguo Ma; Vincent Oria; Jichao Sun (Inf. Syst., 2016)

An efficient ant colony optimization strategy for the resolution of multi-class queries. - Kamil Krynicki; Michael E. Houle; Javier Jaen (Knowl. Based Syst., 2016)

Local Intrinsic Dimensionality I: An Extreme-Value-Theoretic Foundation for Similarity Applications. - Michael E. Houle (SISAP, 2017)

Local Intrinsic Dimensionality II: Multivariate Analysis and Distributional Support. - Michael E. Houle (SISAP, 2017)

Improving k-NN Graph Accuracy Using Local Intrinsic Dimensionality. - Michael E. Houle; Vincent Oria; Arwa M. Wali (SISAP, 2017)

The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality. - Laurent Amsaleg; James Bailey 001; Dominique Barbe; Sarah M. Erfani; Michael E. Houle; Vinh Nguyen; Milos Radovanovic 001 (WIFS, 2017)

Dimensional Testing for Reverse k-Nearest Neighbor Search. - Guillaume Casanova; Elias Englmeier; Michael E. Houle; Peer Kröger; Michael Nett; Erich Schubert; Arthur Zimek (Proc. VLDB Endow., 2017)

Query Expansion for Content-Based Similarity Search Using Local and Global Features. - Michael E. Houle; Xiguo Ma; Vincent Oria; Jichao Sun (ACM Trans. Multim. Comput. Commun. Appl., 2017)

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. - Xingjun Ma; Bo Li 026; Yisen Wang 001; Sarah M. Erfani; Sudanthi N. R. Wijewickrema; Grant Schoenebeck; Dawn Song; Michael E. Houle; James Bailey 001 (ICLR, 2018)

Dimensionality-Driven Learning with Noisy Labels. - Xingjun Ma; Yisen Wang 001; Michael E. Houle; Shuo Zhou 001; Sarah M. Erfani; Shu-Tao Xia; Sudanthi N. R. Wijewickrema; James Bailey 001 (ICML, 2018)

LID-Fingerprint: A Local Intrinsic Dimensionality-Based Fingerprinting Method. - Michael E. Houle; Vincent Oria; Kurt Rohloff; Arwa M. Wali (SISAP, 2018)

On the Correlation Between Local Intrinsic Dimensionality and Outlierness. - Michael E. Houle; Erich Schubert; Arthur Zimek (SISAP, 2018)

Intrinsic Degree: An Estimator of the Local Growth Rate in Graphs. - Lorenzo von Ritter; Michael E. Houle; Stephan Günnemann (SISAP, 2018)

NN-Descent on High-Dimensional Data. - Brankica Bratic; Michael E. Houle; Vladimir Kurbalija; Vincent Oria; Milos Radovanovic 001 (WIMS, 2018)

Extreme-value-theoretic estimation of local intrinsic dimensionality. - Laurent Amsaleg; Oussama Chelly; Teddy Furon; Stéphane Girard; Michael E. Houle; Ken-ichi Kawarabayashi; Michael Nett (Data Min. Knowl. Discov., 2018)

Improving the Quality of Explanations with Local Embedding Perturbations. - Yunzhe Jia; James Bailey 001; Kotagiri Ramamohanarao; Christopher Leckie; Michael E. Houle (KDD, 2019)

Intrinsic Dimensionality Estimation within Tight Localities. - Laurent Amsaleg; Oussama Chelly; Michael E. Houle; Ken-ichi Kawarabayashi; Milos Radovanovic 001; Weeris Treeratanajaru (SDM, 2019)

Subspace Determination Through Local Intrinsic Dimensional Decomposition. - Ruben Becker; Imane Hafnaoui; Michael E. Houle; Pan Li; Arthur Zimek (SISAP, 2019)

Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. - Sukarna Barua; Xingjun Ma; Sarah Monazam Erfani; Michael E. Houle; James Bailey 001 (CoRR, 2019)

Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation. - Ruben Becker; Imane Hafnaoui; Michael E. Houle; Pan Li; Arthur Zimek (CoRR, 2019)

The Influence of Hubness on NN-Descent. - Brankica Bratic; Michael E. Houle; Vladimir Kurbalija; Vincent Oria; Milos Radovanovic 001 (Int. J. Artif. Intell. Tools, 2019)

Introduction to Special Issue of the 9th International Conference on Similarity Search and Applications (SISAP 2016). - Laurent Amsaleg; Michael E. Houle; Erich Schubert (Inf. Syst., 2019)

Local Intrinsic Dimensionality III: Density and Similarity. - Michael E. Houle (SISAP, 2020)

A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. - Qizhou Wang 001; Sarah M. Erfani; Christopher Leckie; Michael E. Houle (SDM, 2021)

Relationships Between Local Intrinsic Dimensionality and Tail Entropy. - James Bailey 001; Michael E. Houle; Xingjun Ma (SISAP, 2021)

The Effect of Random Projection on Local Intrinsic Dimensionality. - Michael E. Houle; Ken-ichi Kawarabayashi (SISAP, 2021)

High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence. - Laurent Amsaleg; James Bailey 001; Amélie Barbe; Sarah M. Erfani; Teddy Furon; Michael E. Houle; Milos Radovanovic 001; Xuan Vinh Nguyen (IEEE Trans. Inf. Forensics Secur., 2021)

Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental Analysis. - Laurent Amsaleg; Oussama Chelly; Michael E. Houle; Ken-ichi Kawarabayashi; Milos Radovanovic 001; Weeris Treeratanajaru (CoRR, 2022)

Local Intrinsic Dimensionality, Entropy and Statistical Divergences. - James Bailey 001; Michael E. Houle; Xingjun Ma (Entropy, 2022)

Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation. - James Bailey 001; Michael E. Houle; Xingjun Ma (Inf. Syst., 2023)

LDReg: Local Dimensionality Regularized Self-Supervised Learning. - Hanxun Huang; Ricardo J. G. B. Campello; Sarah Monazam Erfani; Xingjun Ma; Michael E. Houle; James Bailey 001 (ICLR, 2024)

Dimensionality-Aware Outlier Detection. - Alastair Anderberg; James Bailey 001; Ricardo J. G. B. Campello; Michael E. Houle; Henrique O. Marques; Milos Radovanovic 001; Arthur Zimek (SDM, 2024)

Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration. - Michael E. Houle; Vincent Oria; Hamideh Sabaei (SISAP, 2024)

Bayesian Estimation Approaches for Local Intrinsic Dimensionality. - Zaher Joukhadar; Hanxun Huang; Sarah Monazam Erfani; Ricardo J. G. B. Campello; Michael E. Houle; James Bailey 001 (SISAP, 2024)

Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis. - Alastair Anderberg; James Bailey 001; Ricardo J. G. B. Campello; Michael E. Houle; Henrique O. Marques; Milos Radovanovic 001; Arthur Zimek (CoRR, 2024)