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SISAP 2025: International Conference on Similarity Search and Applications

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截稿日期:
2025-05-11
通知日期:
2025-07-14
会议日期:
2025-10-01
会议地点:
Reykjavik, Iceland
届数:
18
ICORE: B   浏览: 17466   关注: 1   参加: 0

会伴指数 (CP-I)

58.0 / 100
全站第 656 名 / 共 5,650 个会议 · 前 12%
学术认可 (35%)
72
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
79
社区关注 (10%)
17
资料公开度 (15%)
35

用到的输入: 收录等级：ICORE B · 有据可查的届次：18 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-04

征稿

SISAP 2025 (International Conference on Similarity Search and Applications) is a ICORE B 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
由 Dou Sun 最后更新于

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