CALL FOR PAPERS - SISAP 2019

Important Dates

• Paper deadline: May 3rd, 2019 May 17th, 2019 (anywhere on Earth)
• Notification: July 1st, 2019
• Camera-ready due: July 15th, 2019
• Early bird registration: July 23rd, 2019
• Conference: 2nd-4th October, 2019

Scope

The 12^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. 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.
• Evaluation techniques for similarity queries and operations
• Merging/combining multiple similarity modalities
• Cost models and analysis for similarity data processing
• Indexing and access methods for similarity-based 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.

Submissions

For further information please check out the submission guidelines. Papers will be submitted in PDF format through EasyChair.