Topic of Interest

Topics of interest to the SISAP community include (but are not limited to) the following:

• Similarity
  • Similarity queries (k-NN, range, reverse NN, top-k, Approximate and/or precise solutions, etc.)
  • Similarity measures (for vectors, graphs, structures, 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
  • Models of similarity
  • Intrinsic dimensionality and Curse of dimensionality
  • Discriminability and contrast
  • Languages for similarity databases
  • Manifolds and subspaces
• Analytics, Learning, Artificial Intelligence
  • Feature selection and extraction for similarity search
  • Representations learning for feature extraction
  • Visual analytics for similarity-based operations
  • Learning/adaptive similarity measures
  • Similarity in learning and mining
  • Merging/combining multiple similarity modalities
• 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
  • Dense retrieval
  • Vector databases
  • Similarity search in emerging data domains
  • Applications of similarity-based operations
  • Industrial applications and case studies
  • Similarity search cloud services
  • Security and privacy of in similarity search
  • Similarity for forensics and security