Call for Papers — SISAP 2016

Scope

The 9^th 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, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many others that make use of similarity search as a necessary supporting service. SISAP is 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 k-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
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.

Special Session for Industry

A special session devoted to industrial applications and case studies will also take place. Submissions are solicited in multimedia, broadcasting, archiving, image processing, social networks, bioinformatics, and any other area in which similarity technology has made a practical impact. Of particular interest are submissions concerned with one or more of the following: