SISAP: Similarity Search and Applications



Past:   Proceedings on DBLP

Future:  Post a CFP for 2017 or later   |   Invite the Organizers Email


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Event When Where Deadline
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 : 2016

9th International Conference on Similarity Search and Applications
Tokyo, Japan, October, 24 - 26, 2016

The 9th 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, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many others that make use of similarity search as a necessary supporting service. SISAP is devoted to all issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search.

The specific topics include, but are not limited to:

* Similarity queries - k-NN, range, reverse k-NN, top-k, approximate, etc.
* Similary 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
* Evaluation techniques for similarity queries and operations
* Merging/combining multiple similarity modalities
* Cost models and analysis for similarity data processing
* Scalability issues and high-performance similarity data management
* Feature selection and extraction for similarity search
* Multimedia retrieval systems
* Security and privacy of similarity search
* Similarity for forensics and security
* Distributed similarity search
* Similarity search cloud services
* Languages for similarity databases
* Applications of similarity-based operations
* Visual analytics for similarity-based operations
* Test collections and benchmarks
* Performance studies and comparisons
* Industrial applications and case studies
* Theory - models of similarity, intrinsic dimensionality, discriminability and contrast, manifolds and subspaces, etc.

Paper Submission and Publication
SISAP 2016 allows for three forms of submissions: long research papers (from 9 to 14 pages), short research papers (of up to 8 pages) and demo papers (of up to 8 pages). Full papers are expected to be descriptions of complete technical work, whereas short papers can describe innovative approaches or preliminary results which may nevertheless require more work to mature. Vision papers and other position papers should be submitted as short research papers.

Demo submissions should provide the motivation for the demonstrated concepts, the information about the technology and the system to be demonstrated (including a system description, functionality and figures when applicable), and should state the significance of the contribution. The scenarios within which the demonstration applies should also be explained. Evaluation criteria for the demonstration proposals include: novelty, technical advances and challenges, and the overall practical attractiveness of the demonstrated system.

By submitting a paper, its authors commit to its presentation at the conference in the event that the paper is accepted. For an accepted paper to be included in the proceedings, at least one of its authors must register for the conference. At SISAP 2016, all research papers will be presented both orally and in a poster session. The demos will also be presented in the poster session — posters should be prepared for these as well. All research and demo papers will be given an entry in the conference proceedings.

Papers submitted to SISAP 2016 must be written in English and formatted according to the LNCS guidelines. Papers will be submitted in PDF format through EasyChair ( If you experience any problems during the submission, please contact the Program Committee Co-Chairs at

The proceedings of SISAP will be published by Springer as a volume in the Lecture Notes in Computer Science (LNCS) series. For SISAP 2016, as in previous years, extended versions of 5 excellent papers will be invited for publication in a special issue of the journal Information Systems. The conference will also confer a Best Paper Award, as judged by the Program Committee Co-Chairs and Steering Committee.

Special Session for Industry
A special session devoted to industrial applications and case studies will also take place. Submissions are solicited in multimedia, broadcasting, archiving, image processing, social networks, bioinformatics, and any other area in which similarity technology has made a practical impact. Of particular interest are submissions concerned with one or more of the following:

* Use cases and scenarios
* Best practice for similarity search
* Adoption of similarity search in new industrial contexts
* Requirements for research and development

Steering Committee
Edgar Chávez, CICESE, Mexico
Pavel Zezula, Masaryk University, Czech Republic

General Chair
Michael E. Houle, NII, Japan

Program Committee Co-Chairs
Laurent Amsaleg, CNRS–IRISA, France
Michael E. Houle, NII, Japan

Local Arrangements Co-Chairs
Atsushi Koike, Tohoku University, Japan
Tetsuo Shibuya, The University of Tokyo, Japan

Publicity Chair
Michael Nett, Google, Japan

Publications Chair
Erich Schubert, LMU Munich, Germany

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