EXTENDED DEADLINE – SISAP 2020
13th International Conference on Similarity Search and Applications
Copenhagen, Denmark, Sept 30–Oct 02, 2020
IT University of Copenhagen
Abstract Deadline: June 8, 2020 (anywhere on earth)
Paper Deadline: June 22, 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.
Doctoral Symposium
——————
SISAP 2020 Doctoral Symposium provides a forum for PhD students to present their research ideas and receive feedback
from senior members of the research community. The Symposium fosters a collaborative environment,
encouraging constructive discussions and sharing of ideas.
Please see http://sisap.org/2020/DS.html for more details.
Important Dates
—————
– Abstract submission deadline: June 8, 2020 (AoE)
– Paper deadline: June 22, 2020 (AoE)
– Notification: August 7, 2020
– Camera-ready due: August 21, 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, University of Southern Denmark, Denmark
Doctoral Symposium Chair
Ilaria Bartolini, University of Bologna, Italy