Conference Information
SISAP 2020: International Conference on Similarity Search and Applications
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Conference Date:
Copenhagen, Denmark
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Call For Papers

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 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.)
        Indexing and access methods for similarity-based processing
        High-performance/large-scale similarity search (distributed, parallel, etc.)
        Data management (transaction support, dynamic maintenance, etc.)
        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 techniques for similarity queries and operations
        Cost models and analysis for similarity data processing
        Performance studies and comparisons
        Test collections and benchmarks
        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
Last updated by Dou Sun in 2020-04-01
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