[image 03935] [CFP] SISAP2020

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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 Int. Conf. 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: Sept 30-Oct 2, 2020

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

General Chairs
- Martin Aumuller, IT University of Copenhagen
- Bjorn Tor Jonsson, 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

Doctoral Symposium Chair
- Ilaria Bartolini, University of Bologna, Italy
--
■ 井手 一郎 					    ide ＠ i.nagoya-u.ac.jp  ■
■ 名古屋大学 数理・データ科学教育研究センター 基盤教育部門		  ■
■ 	      ／大学院情報学研究科 知能システム学専攻			  ■
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■	住所：〒464-8601 名古屋市千種区不老町1 IB電子情報館461号室	  ■
■ 	WWW： http://www.murase.is.i.nagoya-u.ac.jp/~ide/index-j.html	  ■