Información de la conferencia

SISAP 2025: International Conference on Similarity Search and Applications

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Día de Entrega:
2025-05-11
Fecha de Notificación:
2025-07-14
Fecha de conferencia:
2025-10-01
Ubicación:
Reykjavik, Iceland
Ediciones:
18
Vistas: 16910   Seguidores: 1   Asistentes: 0

Solicitud de Artículos

SISAP 2025 (International Conference on Similarity Search and Applications) is an academic conference held in Reykjavik, Iceland on 2025-10-01. The paper submission deadline is 2025-05-11. Acceptance notifications are sent on 2025-07-14.

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
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