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SISAP 2019 : International Conference on Similarity Search and Applications

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Conference Series : Similarity Search and Applications
 
Link: http://sisap.org/2019/
 
When Oct 2, 2019 - Oct 4, 2019
Where Newark NJ, USA
Submission Deadline May 3, 2019
Notification Due Jul 1, 2019
Final Version Due Jul 15, 2019
Categories    similarity search   multimedia   metric learning   evaluation
 

Call For Papers

CALL FOR PAPERS - SISAP 2019
12th International Conference on Similarity Search and Applications
Newark NJ, USA October, 2 - 4, 2019

Web site: http://www.sisap.org/2019/

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Scope
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The 12th 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. 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.

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Topics
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The specific topics include, but are not limited to:

* Metric learning
* Representation learning
* Similarity queries - k-NN, range, reverse k-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
* 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.

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Important Dates
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Paper deadline: Extended to May 17th, 2019 (anywhere on Earth)
Notification: July 1st, 2019
Camera-ready due: July 15th, 2019
Early bird registration: July 23rd, 2019
Main conference: October 2nd-4th, 2019

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Submission
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SISAP 2019 invites research papers and demonstration papers. Papers should be submitted electronically via the EasyChair submission system: https://www.easychair.org/my/conference.cgi?conf=sisap2019. The SISAP 2019 proceedings will be published in the Lecture Notes in Computer Science (LNCS) series by Springer-Verlag. Each accepted paper will be allotted up to 8/14 pages in the proceedings. Details on the submission format can be found at http://www.sisap.org/2019/guidelines.html.

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Organization
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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 Chair
Vincent Oria, New Jersey Institute of Technology, USA

Program Committee Co-Chairs
Giuseppe Amato, CNR-ISTI, Italy
Miloš Radovanović, University of Novi Sad, Serbia

Communication and Publicity Chair
Martin Aumüller, IT University of Copenhagen, Denmark

Doctoral Symposium Chair
Ilaria Bartolini, University of Bologna, Italy

Publication Chair
Claudio Gennaro, ISTI-CNR, Italy

Local Arrangements
Organizing Committee Chair:
Gelu Nita, New Jersey Institute of Technology, USA

Web Chair
Arwa M. Wali, King Abdulaziz University, Jeddah, Saudi Arabia

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