posted by organizer: mnett || 9920 views || tracked by 20 users: [display]

SISAP 2016 : 9th International Conference on Similarity Search and Applications

FacebookTwitterLinkedInGoogle


Conference Series : Similarity Search and Applications
 
Link: http://sisap.org/2016/
 
When Oct 24, 2016 - Oct 26, 2016
Where Tokyo, Japan
Abstract Registration Due May 9, 2016
Submission Deadline May 16, 2016
Notification Due Jul 4, 2016
Final Version Due Jul 22, 2016
Categories    computer science   information retrieval   databases   multimedia
 

Call For Papers

CALL FOR PAPERS - SISAP 2016
9th International Conference on Similarity Search and Applications
http://www.sisap.org/2016/
Tokyo, Japan, October, 24 - 26, 2016

----------------------------------------
Scope
----------------------------------------
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.

----------------------------------------
Topics
----------------------------------------
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 (https://www.easychair.org/conferences/?conf=sisap2016). If you experience any problems during the submission, please contact the Program Committee Co-Chairs at sisap2016@easychair.org.

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

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

Related Resources

ICMLA 2024   23rd International Conference on Machine Learning and Applications
CVIV 2024   2024 6th International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2024) -EI Compendex
AutoML 2024   AutoML Conference 2024
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
WSDM 2024   17th ACM International Conference on Web Search and Data Mining
CTISC 2024   2024 6th International Conference on Advances in Computer Technology, Information Science and Communications (CTISC 2024) -EI Compendex
IAAI 2024   Innovative Applications of Artificial Intelligence
ACM-Ei/Scopus-DMNLP 2024   2024 International Conference on Data Mining and Natural Language Processing (DMNLP 2024)
ADMA 2024   20th International Conference Advanced Data Mining and Applications
BDCAT 2024   IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies