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Keynotes
From Intrinsic Dimensionality to Chaos and Control: Towards a Unified Theoretical View
The Rise of HNSW: Understanding Key Factors Driving the Adoption
Towards a Universal Similarity Function: the Information Contrast Model and its Application as Evaluation Metric in Artificial Intelligence Tasks
Research Track
Finding HSP Neighbors via an Exact, Hierarchical Approach
Approximate Similarity Search for Time Series Data Enhanced by Section Min-Hash
Mutual nearest neighbor graph for data analysis: Application to metric space clustering
An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search
Unbiased Similarity Estimators using Samples
Retrieve-and-Rank End-to-End Summarization of Biomedical Studies
Fine-grained Categorization of Mobile Applications through Semantic Similarity Techniques for Apps Classification
Runs of Side-Sharing Tandems in Rectangular Arrays
Turbo Scan: Fast Sequential Nearest Neighbor Search in High Dimensions
Class Representatives Selection in Non-Metric Spaces for Nearest Prototype Classification
The Dataset-similarity-based Approach to Select Datasets for Evaluation in Similarity Retrieval
Suitability of Nearest Neighbour Indexes for Multimedia Relevance Feedback
Accelerating k-Means Clustering with Cover Trees
Is Quantized ANN Search Cursed? Case Study of Quantifying Search and Index Quality
Minwise-Independent Permutations with Insertion and Deletion of Features
SDOclust: Clustering with Sparse Data Observers
Solving k-Closest Pairs in High-Dimensional Data using Locality- Sensitive Hashing
Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval
Similarity Search with Multiple-Object Queries
Diversity Similarity Join for Big Data
Indexing Challenge
Overview of the SISAP 2023 Indexing Challenge
Enhancing Approximate Nearest Neighbor Search: Binary-Indexed LSH-Tries, Trie Rebuilding, And Batch Extraction
General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo
SISAP 2023 Indexing Challenge - Learned Metric Index
Computational Enhancements of HNSW Targeted to Very Large Datasets
CRANBERRY: Memory-Effective Search in 100M High-Dimensional CLIP Vectors.

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