11th International Conference on Similarity Search and Applications
Lima, Peru October, 7 - 9, 2018
Web site: http://www.sisap.org/2018/
----------------------------------------
Scope
----------------------------------------
The 11th 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.
----------------------------------------
Topics
----------------------------------------
The specific topics include, but are not limited to:
* 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.
----------------------------------------
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
----------------------------------------
Keynote Speakers
----------------------------------------
Alistair Moffat, University of Melbourne, Australia
Hannan Samet, University of Maryland, USA
Moshe Y. Vardi, Rice University, USA
----------------------------------------
Important Dates
----------------------------------------
Paper deadline: May 18th, 2018 (anywhere on Earth)
Notification: July 9th, 2018
Camera-ready due: July 23rd, 2018
Early bird registration: July 23rd, 2018
Main conference: 7th-9th October, 2018
----------------------------------------
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 Chair
Edgar Chávez, CICESE, Mexico
Program Committee Co-Chairs
Stephane Marchand-Maillet, Universitè de Genève, Switzerland
Yasin N. Silva, Arizona State University, USA
Local Arrangements
Organizing Committee Chair:
Ernesto Cuadros-Vargas, Universidad de Ingeniería y Tecnología (UTEC)
Web Chair
Karina Figueroa, Universidad Michoacana, México
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************