Michael E. Houle

4.4k citations

72 papers · 1.5k indexed · 1 hit paper · h-index 18

Impact in

Computer Graphics and Computer-Aided Design top 2%
- Computational Geometry and Mesh Generation
Signal Processing top 2%
- Data Management and Algorithms

Papers in ⓘ

Computer Graphics and Computer-Aided Design 13
- Computational Geometry and Mesh Generation 13
Signal Processing 24
- Data Management and Algorithms 23

Co-authors: Erich Schubert (4 shared papers)Godfried T. Toussaint (5 shared papers)Arthur Zimek (3 shared papers)Ira Assent (2 shared papers)Jörg Sander (2 shared papers)Guilherme O. Campos (2 shared papers)Barbora Micenková (2 shared papers)Ricardo J. G. B. Campello (2 shared papers)
Journals: Discrete & Computational Geometry (2 papers)Data Mining and Knowledge Discovery (2 papers)ACM Transactions on Multimedia Computing Communications and Applications (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Information Systems (2 papers)
Partner nations: Japan United States Australia

In The Last Decade

Michael E. Houle

67 papers receiving 1.4k citations

Hit Papers

align trajectories log scale

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study 2016 · 438 citations

Peers

Countries citing papers authored by Michael E. Houle

Since Specialization

Citations

This map shows the geographic impact of Michael E. Houle's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael E. Houle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Houle more than expected).

Fields of papers citing papers by Michael E. Houle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Houle. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael E. Houle. The network helps show where Michael E. Houle may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael E. Houle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael E. Houle Line = papers co-authored together Michael E. Houle links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study Data Mining and Knowledge Discovery ·Guilherme O. Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle Hit paper breakdown →	2016	438
2	Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Own your potential (DEAKIN) ·Xingjun Ma, Bo Li, Yisen Wang, Sarah Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey	2018	176
3	Computing the width of a set IEEE Transactions on Pattern Analysis and Machine Intelligence ·Michael E. Houle, Godfried T. Toussaint	1988	81
4	Expansion of the APC superfamily of secondary carriers Proteins Structure Function and Bioinformatics ·Åke Västermark, Simon Wollwage, Michael E. Houle, Rita V. M. Rio, Milton H. Saier	2014	60
5	Fast Approximate Similarity Search in Extremely High-Dimensional Data Sets Michael E. Houle, Jun Sakuma	2005	60
6	IL-10 Up-Regulates CCR5 Gene Expression in Human Monocytes Inflammation ·Michael E. Houle, Maryse Thivierge, Christian Le Gouill, Jana Staňková, Marek Rola‐Pleszczynski	1999	55
7	Dimensionality-Driven Learning with Noisy Labels Own your potential (DEAKIN) ·Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah Erfani, Shu‐Tao Xia, Sudanthi Wijewickrema, James Bailey	2018	49
8	Finding Local Anomalies in Very High Dimensional Space Timothy de Vries, Sanjay Chawla, Michael E. Houle	2010	47
9	Dimensionality, Discriminability, Density and Distance Distributions Michael E. Houle	2013	31
10	Density-preserving projections for large-scale local anomaly detection Knowledge and Information Systems ·Timothy de Vries, Sanjay Chawla, Michael E. Houle	2011	29
11	Computating the width of a set Michael E. Houle, Godfried T. Toussaint	1985	26
12	Robust Distance-Based Clustering with Applications to Spatial Data Mining Algorithmica ·Vladimir Estivill‐Castro, Michael E. Houle	2001	25
13	Rank-Based Similarity Search: Reducing the Dimensional Dependence IEEE Transactions on Pattern Analysis and Machine Intelligence ·Michael E. Houle, Michael Nett	2014	24
14	Extracting spatial knowledge from the web Yasuhiko Morimoto, Masaki Aono, Michael E. Houle, Kevin S. McCurley	2003	21
15	Generalized Expansion Dimension Michael E. Houle, Hisashi Kashima, Michael Nett	2012	21
16	Extreme-value-theoretic estimation of local intrinsic dimensionality Data Mining and Knowledge Discovery ·Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken‐ichi Kawarabayashi, Michael Nett	2018	19
17	A Visibility Representation for Graphs in Three Dimensions Journal of Graph Algorithms and Applications ·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	19
18	Dimensional Testing for Multi-step Similarity Search Michael E. Houle, Xiguo Ma, Michael Nett, Vincent Oria	2012	17
19	Navigating massive data sets via local clustering Michael E. Houle	2003	17
20	Every Set of Disjoint Line Segments Admits a Binary Tree Discrete & Computational Geometry ·Prosenjit Bose, Michael E. Houle, Godfried T. Toussaint	2001	17

About Michael E. Houle

Michael E. Houle is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (23 papers), Advanced Image and Video Retrieval Techniques (14 papers), Computational Geometry and Mesh Generation (13 papers), Anomaly Detection Techniques and Applications (9 papers), Face and Expression Recognition (8 papers), Advanced Clustering Algorithms Research (8 papers), Image Retrieval and Classification Techniques (6 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (162 citations), Signal Processing (314 citations), Artificial Intelligence (872 citations), Computer Vision and Pattern Recognition (375 citations) and Computer Networks and Communications (252 citations). Michael E. Houle has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Erich Schubert, Godfried T. Toussaint, Arthur Zimek, Ira Assent, Jörg Sander, Guilherme O. Campos, Barbora Micenková, Ricardo J. G. B. Campello, James Bailey and Jun Sakuma. Their work appears in journals such as Discrete & Computational Geometry, Data Mining and Knowledge Discovery, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Information Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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