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Call for Papers - SISAP 2023
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|| 16th International Conference on Similarity Search and Applications ||
|| A Coruña, Oct 9-11, 2023 ||
|| https://sisap.org/2023/ ||
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Scope
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The 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. Since 2021, SISAP has been a CORE Rank B conference.

SISAP traditionally allows for research papers (full and short), application papers (full and short), as well as demo (short), vision (short), and position (short) papers.

The conference proceedings are published by Springer as a volume in the Lecture Notes in Computer Science (LNCS) series. A small selection of the best papers presented at the conference will be recommended for inclusion in a special issue of Information Systems. These extended versions will be subject to a second round of peer review at the journal. Best papers will be awarded along with a monetary prize.

Important Additional Scholarly Activities at SISAP
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(*) Fourth Doctoral Symposium on Similarity Search and Applications
(*) SISAP Indexing Challenge (https://sisap-challenges.github.io/)

Invited Speakers
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(*) Julio Gonzalo, UNED, Madrid, Spain
(*) Michael Houle, New Jersey Institute of Technology, Newark, USA
(*) Yury Malkov, VerSe Innovation, Bangalore, India


Topics of Interest
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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.)
o*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
*Representations learning for feature extraction
*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

Important Dates
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Abstract deadline: June 5, 2023 (AoE)
Paper deadline: June 12, 2023 (AoE)
Paper notification: July 24, 2023
Camera-ready due: August 28, 2023
Conference: October 9-11, 2023

Doctoral Symposium Chair
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Amalia Duch-Brown, Universitat Politècnica de Catalunya, Spain

Doctoral Symposium Program Committee Members
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Giuseppe Amato, ISTI-CNR, Italy
Richard Connor, University of St Andrews, UK
Eric S. Tellez, CICESE-INFOTEC-CONACYT, Mexico


SISAP Indexing Challenge Chairs
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Eric S. Tellez, CICESE-INFOTEC-CONACyT, Mexico
Martin Aumüller, ITU Copenhagen, Denmark

Publicity Chairs
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Conrado Martinez, Universitat Politècnica de Catalunya, Spain
Cole Foster, Brown University, USA

General Co-Chairs
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Oscar Pedreira, Universidade da Coruña, Spain
Vladimir Estivill-Castro, Universitat Pompeu Fabra, Spain

Program Committee
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Giuseppe Amato, ISTI-CNR, Italy
Laurent Amsaleg, CNRS-IRISA, France
Fabrizio Angiulli, DIMES, University of Calabria, Italy
Ilaria Bartolini, University of Bologna, Italy
Michal Batko, Masaryk University, Czech Republic
Panagiotis Bouros, Johannes Gutenberg University Mainz, Germany
Benjamin Bustos, University of Chile, Chile
K. Selcuk Candan, Arizona State University, USA
Edgar Chavez, CICESE, Mexico
Mario G.C.A. Cimino, University of Pisa, Italy
Richard Connor, University of St. Andrews, UK
Alan Dearle , University of St. Andrews, UK
Vlastislav Dohnal, Masaryk University, Czech Republic
Vlad Estivill-Castro, Universitat Pompeu Fabra, Spain
Rolf Fagerberg, University of Southern Denmark, Denmark
Fabrizio Falchi, ISTI-CNR, Italy
Karina Figueroa, UMSNH, Mexico
Qiang Gao, Southwestern University of Finance and Economics, China
Yunjun Gao, Zhejiang University, China
Claudio Gennaro, ISTI - CNR, Italy
Thi Thao Nguyen Ho, Aalborg University, Denmark
Akihiro Inokuchi, Kwansei Gakuin University, Japan
Björn Þór Jónsson, Reykjavik University, Iceland
Peer Kröger, Christian-Albrechts-University Kiel, Germany
Stéphane Marchand-Maillet, University of Geneva, Switzerland
Vladimir Mic, Masaryk university, Czech Republic
Lia Morra, Politecnico di Torino, Italy
Vincent Oria, NJIT, USA
Marco Patella, University of Bologna, Italy
Oscar Pedreira, University of A Coruña, Spain
Miloš Radovanović, University of Novi Sad, Serbia
Marcela Ribeiro, Federal University of São Carlos, Brazil
Kunihiko Sadakane, The University of Tokyo, Japan
Erich Schubert, TU Dortmund University, Germany
Jan Sedmidubsky, Masaryk University, Czech Republic
Tetsuo Shibuya, The University of Tokyo, Japan
Caetano Traina-Junior, University of São Paulo, Brazil
Lucia Vadicamo, ISTI- CNR, Italy
Takashi Washio, Osaka University, Japan
Pavel Zezula, Masaryk University, Czech Republic
Kaiping Zheng National, University of Singapore, Singapore
Arthur Zimek, University of Southern Denmark, Denmark