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SISAP 2020 : International Conference on Similarity Search and Applications

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Conference Series : Similarity Search and Applications
 
Link: http://sisap.org/2020
 
When Sep 30, 2020 - Oct 2, 2020
Where Copenhagen
Submission Deadline May 1, 2020
Notification Due Jul 3, 2020
Final Version Due Jul 17, 2020
Categories    similarity   indexing   multimedia   data management
 

Call For Papers

CALL FOR PAPERS - SISAP 2020

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

Deadline: May 1, 2020 (anywhere on earth)

Web site: http://sisap.org/2020/

Scope
-----

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
- 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.)

Scalability
- Indexing and access methods for similarity-based processing
- High-performance/large-scale similarity search (distributed, parallel, etc.)
- Data management (transaction support, dynamic maintenance, etc.)

Theory
- 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
- Evaluation techniques for similarity queries and operations
- Cost models and analysis for similarity data processing
- Performance studies and comparisons
- Test collections and benchmarks

Applications
- 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 http://sisap.org/2020/ for more information about these special sessions.

Important Dates
---------------

- Paper deadline: May 1, 2020 (AoE)
- Notification: July 3, 2020
- Camera-ready due: July 17, 2020
- Early bird registration: July 17, 2020
- Conference: September 30—October 2, 2020

Organization
------------

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, Univerity of Southern Denmark, Denmark

Related Resources

WSDM 2020   ACM International Conference on Web Search and Data Mining
AVC 2020   Advances in Vision Computing: An International Journal
MM 2020   ACM Multimedia
SI-FDS-MLJ 2021   CFP: Special Issue on Foundations of Data Science - Machine Learning Journal
ACM-CCGIV 2020-Ei/Scopus 2020   2020 3rd International Conference on Computer Graphics, Image and Visualization (CCGIV 2020)
ICMLA 2020   International Conference on Machine Learning and Applications
SoCC 2020   Symposium on Cloud Computing
SSBSE 2020   12th Symposium on Search-Based Software Engineering
NASFW@WACV 2020   Workshop on Neural Architecture Search for Computer Vision in the Wild @ WACV 2020
MLAIJ 2020   Machine Learning and Applications: An International Journal