The 10th 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 technologicalproblems 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.
* Similarity queries - k-NN, range, reverse k-NN, top-k, approximate, etc.
* Similary 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.