SISAP: Similarity Search and Applications



Past:   Proceedings on DBLP

Future:  Post a CFP for 2021 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
SISAP 2020 International Conference on Similarity Search and Applications
Sep 30, 2020 - Oct 2, 2020 Copenhagen Jun 22, 2020
SISAP 2019 International Conference on Similarity Search and Applications
Oct 2, 2019 - Oct 4, 2019 Newark NJ, USA May 17, 2019
SISAP 2018 11th International Conference on Similarity Search and Applications
Oct 7, 2018 - Oct 9, 2018 Lima, Peru May 28, 2018
SISAP 2016 9th International Conference on Similarity Search and Applications
Oct 24, 2016 - Oct 26, 2016 Tokyo, Japan May 23, 2016
SISAP 2015 8th International Conference on Similarity Search and Applications
Oct 12, 2015 - Oct 14, 2015 Glasgow, UK May 25, 2015 (May 8, 2015)
SISAP (LNCS and IS Journal) 2014 7th International Conference on Similarity Search and Applications
Oct 29, 2014 - Oct 31, 2014 Los Cabos, Mexico May 19, 2014 (May 12, 2014)
SISAP 2013 6th International Conference on Similarity Search and Applications
Oct 2, 2013 - Oct 4, 2013 A Coruna, Spain May 10, 2013 (May 3, 2013)
SISAP 2012 5th International Conference on Similarity Search and Applications
Aug 9, 2012 - Aug 10, 2012 Toronto, Canada Mar 25, 2012
SISAP 2011 4th International Conference on SImilarity Search and APplications
Jun 30, 2011 - Jul 1, 2011 Lipari Island, Italy Mar 10, 2011
SISAP 2010 3rd International Conference on Similarity Search and Applications
Sep 20, 2010 - Sep 21, 2010 Istanbul, Turkey Jul 2, 2010
SISAP 2009 2nd International Workshop on Similarity Search and Applications
Aug 29, 2009 - Aug 30, 2009 Prague, Czech Republic Apr 5, 2009 (Mar 29, 2009)
SISAP 2008 First International Workshop on Similarity Search and Applications
Apr 11, 2008 - Apr 12, 2008 Cancun, Mexico Nov 26, 2007

Present CFP : 2020


13th International Conference on Similarity Search and Applications
Copenhagen, Denmark, Sept 30--Oct 02, 2020
IT University of Copenhagen

Abstract Deadline: June 8, 2020 (anywhere on earth)
Paper Deadline: June 22, 2020 (anywhere on earth)

Web site:


The 13th International Conference on Similarity Search and Applications
(SISAP) is an annual forum for researchers and application developers in the
area of similarity data management. It aims at the technological problems
shared by numerous application domains, such as data mining, information
retrieval, multimedia retrieval, computer vision, pattern recognition,
computational biology, geography, biometrics, machine learning, and many
others that make use of similarity search as a necessary supporting service.
From its roots in metric indexing, SISAP has expanded to become the only
international conference entirely devoted to all issues surrounding the
theory, design, analysis, practice, and application of content-based and
feature-based similarity search.

Topics of Interest

The specific topics include, but are not limited to:

- Similarity queries (k-NN, range, reverse NN, top-k, approximate, etc.)
- Similarity measures (graph, structural, time series, complex data, tensors, secondary similarity, etc.)
- Similarity operations (joins, ranking, classification, categorization, filtering, etc.)
- Indexing and access methods for similarity-based processing
- High-performance/large-scale similarity search (distributed, parallel, etc.)
- Data management (transaction support, dynamic maintenance, etc.)
- Languages for similarity databases
- Models of similarity
- Intrinsic dimensionality
- Discriminability and contrast
- Manifolds and subspaces
Analytics, Learning, Artificial Intelligence
- Visual analytics for similarity-based operations
- Feature selection and extraction for similarity search
- Merging/combining multiple similarity modalities
- Learning/adaptive similarity measures
- Similarity in learning and mining
- Evaluation techniques for similarity queries and operations
- Cost models and analysis for similarity data processing
- Performance studies and comparisons
- Test collections and benchmarks
- Multimedia retrieval systems
- Applications of similarity-based operations
- Industrial applications and case studies
- Similarity for forensics and security
- Similarity search cloud services
- Security and privacy of in similarity search

Special Sessions

SISAP 2020 will feature the following three special sessions:

- Artificial Intelligence and Similarity (organized by Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, and Fabio Carrara)
- Adversarial Machine Learning & Similarity (AMLS) (organized by Laurent Amsaleg and Michael Houle)
- Similarity Techniques in Machine Learning (SiTe-ML) (organized by Anshumali Shrivastava, Sanjiv Kumar, and Rasmus Pagh)

Special session papers will supplement the regular research papers and be included in the proceedings of SISAP 2020,
which will be published by Springer as a volume in the Lecture Notes in Computer Science (LNCS) series.

Please see the website at for more information about these special sessions.

Doctoral Symposium

SISAP 2020 Doctoral Symposium provides a forum for PhD students to present their research ideas and receive feedback
from senior members of the research community. The Symposium fosters a collaborative environment,
encouraging constructive discussions and sharing of ideas.

Please see for more details.

Important Dates

- Abstract submission deadline: June 8, 2020 (AoE)
- Paper deadline: June 22, 2020 (AoE)
- Notification: August 7, 2020
- Camera-ready due: August 21, 2020
- Conference: September 30—October 2, 2020


Steering Committee

Laurent Amsaleg, CNRS-IRISA, France
Edgar Chávez, CICESE, Mexico
Michael E. Houle, National Institute of Informatics, Japan
Pavel Zezula, Masaryk University, Czech Republic

General Chairs

Martin Aumüller, IT University of Copenhagen
Björn Þór Jónsson, IT University of Copenhagen
Rasmus Pagh, IT University of Copenhagen

Program Committee Co-Chairs

Shin'ichi Satoh, National Institute of Informatics, Japan
Lucia Vadicamo, ISTI-CNR, Italy
Arthur Zimek, University of Southern Denmark, Denmark

Doctoral Symposium Chair

Ilaria Bartolini, University of Bologna, Italy


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