Conference Information
SISAP 2020: International Conference on Similarity Search and Applications
http://sisap.org/2020/Submission Date: |
2020-05-01 |
Notification Date: |
2020-07-03 |
Conference Date: |
2020-09-30 |
Location: |
Copenhagen, Denmark |
Years: |
13 |
Viewed: 9712 Tracked: 0 Attend: 0
Call For Papers
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
Last updated by Dou Sun in 2020-04-01
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