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ORCIDMichael E. Houle
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- affiliation: National Institute of Informatics, NII, Japan
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2020 – today
- 2022
[j32]James Bailey, Michael E. Houle, Xingjun Ma
:
Local Intrinsic Dimensionality, Entropy and Statistical Divergences. Entropy 24(9): 1220 (2022)- [i7]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 abs/2209.14475 (2022) - 2021
- [j31]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: 854-865 (2021) - [c69]Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle:
A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. SDM 2021: 118-126 - [c68]James Bailey, Michael E. Houle, Xingjun Ma:
Relationships Between Local Intrinsic Dimensionality and Tail Entropy. SISAP 2021: 186-200 - [c67]Michael E. Houle, Ken-ichi Kawarabayashi:
The Effect of Random Projection on Local Intrinsic Dimensionality. SISAP 2021: 201-214 - 2020
- [c66]Michael E. Houle:
Local Intrinsic Dimensionality III: Density and Similarity. SISAP 2020: 248-260
2010 – 2019
- 2019
- [j30]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): 1960002:1-1960002:23 (2019) - [j29]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: 107 (2019) - [c65]Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle:
Improving the Quality of Explanations with Local Embedding Perturbations. KDD 2019: 875-884 - [c64]Laurent Amsaleg, Oussama Chelly, Michael E. Houle, Ken-ichi Kawarabayashi, Milos Radovanovic, Weeris Treeratanajaru:
Intrinsic Dimensionality Estimation within Tight Localities. SDM 2019: 181-189 - [c63]Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek:
Subspace Determination Through Local Intrinsic Dimensional Decomposition. SISAP 2019: 281-289 - [i6]Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey:
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. CoRR abs/1905.00643 (2019) - [i5]Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek:
Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation. CoRR abs/1907.06771 (2019) - 2018
- [j28]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): 1768-1805 (2018) - [c62]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 - [c61]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: 3361-3370 - [c60]Michael E. Houle, Vincent Oria, Kurt Rohloff, Arwa M. Wali:
LID-Fingerprint: A Local Intrinsic Dimensionality-Based Fingerprinting Method. SISAP 2018: 134-147 - [c59]Michael E. Houle, Erich Schubert, Arthur Zimek:
On the Correlation Between Local Intrinsic Dimensionality and Outlierness. SISAP 2018: 177-191 - [c58]Lorenzo von Ritter, Michael E. Houle, Stephan Günnemann:
Intrinsic Degree: An Estimator of the Local Growth Rate in Graphs. SISAP 2018: 195-208 - [c57]Brankica Bratic, Michael E. Houle, Vladimir Kurbalija, Vincent Oria, Milos Radovanovic:
NN-Descent on High-Dimensional Data. WIMS 2018: 20:1-20:8 - [i4]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 abs/1801.02613 (2018) - [i3]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 abs/1806.02612 (2018) - 2017
- [j27]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): 769-780 (2017) - [j26]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): 25:1-25:23 (2017) - [c56]Michael E. Houle:
Local Intrinsic Dimensionality I: An Extreme-Value-Theoretic Foundation for Similarity Applications. SISAP 2017: 64-79 - [c55]Michael E. Houle:
Local Intrinsic Dimensionality II: Multivariate Analysis and Distributional Support. SISAP 2017: 80-95 - [c54]Michael E. Houle, Vincent Oria, Arwa M. Wali:
Improving k-NN Graph Accuracy Using Local Intrinsic Dimensionality. SISAP 2017: 110-124 - [c53]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: 1-6 - 2016
- [j25]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): 891-927 (2016) - [j24]Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun:
Efficient similarity search within user-specified projective subspaces. Inf. Syst. 59: 2-14 (2016) - [j23]Kamil Krynicki, Michael E. Houle, Javier Jaen:
An efficient ant colony optimization strategy for the resolution of multi-class queries. Knowl. Based Syst. 105: 96-106 (2016) - [c52]Simone Romano, Oussama Chelly, Vinh Nguyen, James Bailey, Michael E. Houle:
Measuring dependency via intrinsic dimensionality. ICPR 2016: 1207-1212 - [e1]Laurent Amsaleg, Michael E. Houle, Erich Schubert:
Similarity Search and Applications - 9th International Conference, SISAP 2016, Tokyo, Japan, October 24-26, 2016. Proceedings. Lecture Notes in Computer Science 9939, 2016, ISBN 978-3-319-46758-0 [contents] - 2015
- [j22]Michael E. Houle, Michael Nett:
Rank-Based Similarity Search: Reducing the Dimensional Dependence. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 136-150 (2015) - [j21]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): 3258-3273 (2015) - [c51]Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett:
Estimating Local Intrinsic Dimensionality. KDD 2015: 29-38 - [c50]Michael E. Houle, Xiguo Ma, Vincent Oria:
Flexible Aggregate Similarity Search in High-Dimensional Data Sets. SISAP 2015: 15-28 - [c49]Kamil Krynicki, Michael E. Houle, Javier Jaen:
A Non-hybrid Ant Colony Optimization Heuristic for Convergence Quality. SMC 2015: 1706-1713 - [i2]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) - 2014
- [j20]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): 259-274 (2014) - [c48]Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun:
Improving the Quality of K-NN Graphs for Image Databases through Vector Sparsification. ICMR 2014: 89 - [c47]Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun:
Efficient Algorithms for Similarity Search in Axis-Aligned Subspaces. SISAP 2014: 1-12 - [c46]Agni Delvinioti, Hervé Jégou, Laurent Amsaleg, Michael E. Houle:
Image Retrieval with Reciprocal and Shared Nearest Neighbors. VISAPP (2) 2014: 321-328 - [p1]Vincent Oria, Ying Li, Chitra Dorai, Michael E. Houle:
Multimedia Databases: Description, Analysis, Modeling, and Retrieval. Computing Handbook, 3rd ed. (2) 2014: 14: 1-28 - 2013
- [j19]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): 7:1-7:21 (2013) - [c45]Michael E. Houle:
Dimensionality, Discriminability, Density and Distance Distributions. ICDM Workshops 2013: 468-473 - [c44]Michael E. Houle, Michael Nett:
Rank Cover Trees for Nearest Neighbor Search. SISAP 2013: 16-29 - [i1]Michael E. Houle, Vincent Oria, Arthur Zimek:
Dimensionality and Scalability (NII Shonan Meeting 2013-4). NII Shonan Meet. Rep. 2013 (2013) - 2012
- [j18]Timothy de Vries, Sanjay Chawla, Michael E. Houle:
Density-preserving projections for large-scale local anomaly detection. Knowl. Inf. Syst. 32(1): 25-52 (2012) - [j17]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): 11:1-11:50 (2012) - [c43]Michael E. Houle, Xiguo Ma, Michael Nett, Vincent Oria:
Dimensional Testing for Multi-step Similarity Search. ICDM 2012: 299-308 - [c42]Michael E. Houle, Hisashi Kashima, Michael Nett:
Generalized Expansion Dimension. ICDM Workshops 2012: 587-594 - [c41]Michael E. Houle, Hisashi Kashima, Michael Nett:
Fast Similarity Computation in Factorized Tensors. SISAP 2012: 226-239 - 2011
- [c40]Michael E. Houle, Vincent Oria, Shin'ichi Satoh, Jichao Sun:
Knowledge propagation in large image databases using neighborhood information. ACM Multimedia 2011: 1033-1036 - [c39]Michael E. Houle:
Combinatorial Approaches to Clustering and Feature Selection. MultiClust@ECML/PKDD 2011: 1-3 - [c38]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: 422-440 - 2010
- [j16]Shinichi Honiden, Michael E. Houle, Christian Sommer, Martin Wolff:
Approximate Shortest Path Queries Using Voronoi Duals. Trans. Comput. Sci. 9: 28-53 (2010) - [c37]Michael E. Houle, Vincent Oria, Umar Qasim:
Active caching for similarity queries based on shared-neighbor information. CIKM 2010: 669-678 - [c36]Timothy de Vries, Sanjay Chawla, Michael E. Houle:
Finding Local Anomalies in Very High Dimensional Space. ICDM 2010: 128-137 - [c35]Xuan Vinh Nguyen, Michael E. Houle:
A Set Correlation Model for Partitional Clustering. PAKDD (1) 2010: 4-15 - [c34]Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek:
Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? SSDBM 2010: 482-500
2000 – 2009
- 2009
- [c33]Shinichi Honiden, Michael E. Houle, Christian Sommer, Martin Wolff:
Approximate Shortest Path Queries in Graphs Using Voronoi Duals. ISVD 2009: 53-62 - [c32]Shinichi Honiden, Michael E. Houle, Christian Sommer:
Balancing Graph Voronoi Diagrams. ISVD 2009: 183-191 - [c31]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: 209-212 - [c30]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 - 2008
- [j15]Michael E. Houle:
The Relevant-Set Correlation Model for Data Clustering. Stat. Anal. Data Min. 1(3): 157-176 (2008) - [c29]Michael E. Houle:
The Relevant-set Correlation Model for Data Clustering. SDM 2008: 775-786 - 2007
- [c28]Michael E. Houle, Nizar Grira:
A correlation-based model for unsupervised feature selection. CIKM 2007: 897-900 - [c27]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: 127-136 - [c26]Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle:
Boosting Face Retrieval by using Relevant Set Correlation Clustering. ICME 2007: 524-527 - [c25]Nizar Grira, Michael E. Houle:
Best of both: a hybridized centroid-medoid clustering heuristic. ICML 2007: 313-320 - 2006
- [c24]Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle:
Face Retrieval in Broadcasting News Video by Fusing Temporal and Intensity Information. CIVR 2006: 391-400 - 2005
- [j14]Michael E. Houle, Ferran Hurtado, Marc Noy, Eduardo Rivera-Campo:
Graphs of Triangulations and Perfect Matchings. Graphs Comb. 21(3): 325-331 (2005) - [c23]Michael E. Houle, Jun Sakuma:
Fast Approximate Similarity Search in Extremely High-Dimensional Data Sets. ICDE 2005: 619-630 - 2004
- [j13]Michael E. Houle, Antonios Symvonis, David R. Wood:
Dimension-exchange algorithms for token distribution on tree-connected architectures. J. Parallel Distributed Comput. 64(5): 591-605 (2004) - 2003
- [c22]Michael E. Houle:
Navigating massive data sets via local clustering. KDD 2003: 547-552 - [c21]Yasuhiko Morimoto, Masaki Aono, Michael E. Houle, Kevin S. McCurley:
Extracting Spatial Knowledge from the Web. SAINT 2003: 326-333 - 2002
- [j12]M. Carmen Hernando, Michael E. Houle, Ferran Hurtado:
On local transformation of polygons with visibility properties. Theor. Comput. Sci. 289(2): 919-937 (2002) - [c20]Michael E. Houle, Antonios Symvonis, David R. Wood:
Dimension-Exchange Algorithms for Load Balancing on Trees. SIROCCO 2002: 181-196 - 2001
- [j11]Vladimir Estivill-Castro, Michael E. Houle:
Robust Distance-Based Clustering with Applications to Spatial Data Mining. Algorithmica 30(2): 216-242 (2001) - [j10]Prosenjit Bose, Michael E. Houle, Godfried T. Toussaint:
Every Set of Disjoint Line Segments Admits a Binary Tree. Discret. Comput. Geom. 26(3): 387-410 (2001) - [c19]Kevin Pulo, Michael E. Houle:
Evaluation of Virtual World Systems. Australian Software Engineering Conference 2001: 98-107 - [c18]Carsten Friedrich, Michael E. Houle:
Graph Drawing in Motion II. GD 2001: 220-231 - [c17]Tim Menzies, John D. Powell, Michael E. Houle:
Fast Formal Analysis of Requirements via "Topoi Diagrams". ICSE 2001: 391-400 - [c16]Vladimir Estivill-Castro, Michael E. Houle:
Data Structures for Minimization of Total Within-Group Distance for Spatio-temporal Clustering. PKDD 2001: 91-102 - 2000
- [c15]M. Carmen Hernando, Michael E. Houle, Ferran Hurtado:
On Local Transformation of Polygons with Visibility Properties. COCOON 2000: 54-63 - [c14]Vladimir Estivill-Castro, Michael E. Houle:
Fast Randomized Algorithms for Robust Estimation of Location. TSDM 2000: 77-88
1990 – 1999
- 1999
- [j9]Michael E. Houle, Ewan D. Tempero, Gavin Turner:
Optimal Dimension-Exchange Token Distribution on Complete Binary Trees. Theor. Comput. Sci. 220(2): 363-376 (1999) - [c13]Vladimir Estivill-Castro, Michael E. Houle:
Robust Clustering of Large Data Sets with Categorial Attributes. Australasian Database Conference 1999: 165-176 - [c12]Binay K. Bhattacharya, Michael E. Houle:
Generalized Maximum Independent Sets for Trees in Subquadratic Time. ISAAC 1999: 435-445 - [c11]Vladimir Estivill-Castro, Michael E. Houle:
Robust Clustering of Large Geo-referenced Data Sets. PAKDD 1999: 327-337 - 1998
- [j8]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): 1-16 (1998) - [j7]Michael E. Houle, Gavin Turner:
Dimension-Exchange Token Distribution on the Mesh and the Torus. Parallel Comput. 24(2): 247-265 (1998) - [c10]Michael E. Houle, Richard Webber:
Approximation Algorithms for Finding Best Viewpoints. GD 1998: 210-223 - 1997
- [c9]Peter Eades, Michael E. Houle, Richard Webber:
Finding the Best Viewpoints for Three-Dimensional Graph Drawings. GD 1997: 87-98 - [c8]Sándor P. Fekete, Michael E. Houle, Sue Whitesides:
The Wobbly Logic Engine: Proving Hardness of Non-rigid Geometric Graph Representation Problems. GD 1997: 272-283 - [c7]Michael E. Houle:
Ethics, programming, and virtual environments. ITiCSE 1997: 91-93 - 1996
- [c6]Michael E. Houle, Gavin Turner:
Dimension-Exchange Token Distribution on the Mesh and the Torus. ISAAC 1996: 285-294 - 1995
- [j6]David Avis, Michael E. Houle:
Computational aspects of Helly's theorem and its relatives. Int. J. Comput. Geom. Appl. 5(4): 357-367 (1995) - [c5]Sándor P. Fekete, Michael E. Houle, Sue Whitesides:
New Results on a Visibility Representation of Graphs in 3D. GD 1995: 234-241 - 1994
- [c4]Prosenjit Bose, Michael E. Houle, Godfried T. Toussaint:
Every Set of Disjoint Line Segments Admits a Binary Tree. ISAAC 1994: 20-28 - 1993
- [j5]Michael E. Houle, Hiroshi Imai, Keiko Imai, Jean-Marc Robert, Peter Yamamoto:
Orthogonal Weighted Linear L1 and L∞ Approximation and Applications. Discret. Appl. Math. 43(3): 217-232 (1993) - [j4]Michael E. Houle:
Algorithms for Weak and Wide Separation of Sets. Discret. Appl. Math. 45(2): 139-159 (1993) - [j3]Gen-Huey Chen, Michael E. Houle, Ming-Ter Kuo:
The steiner problem in distributed computing systems. Inf. Sci. 74(1-2): 73-96 (1993) - [c3]Hossam A. ElGindy, Michael E. Houle, William J. Lenhart, Mirka Miller, David Rappaport, Sue Whitesides:
Dominance Drawings of Bipartite Graphs. CCCG 1993: 187-191 - 1991
- [j2]Michael E. Houle:
Theorems on the Existence of Separating Surfaces. Discret. Comput. Geom. 6: 49-56 (1991)
1980 – 1989
- 1989
- [c2]Michael E. Houle, Hiroshi Imai, Keiko Imai, Jean-Marc Robert:
Weighted Orthogonal Linear L∞-Approximation and Applications. WADS 1989: 183-193 - 1988
- [j1]Michael E. Houle, Godfried T. Toussaint:
Computing the Width of a Set. IEEE Trans. Pattern Anal. Mach. Intell. 10(5): 761-765 (1988) - 1985
- [c1]Michael E. Houle, Godfried T. Toussaint:
Computating the width of a set. SCG 1985: 1-7
Coauthor Index