Similarity Search and Applications

Table of Contents

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   Book Overview
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   Chapter 1 Finding HSP Neighbors via an Exact, Hierarchical Approach
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   Chapter 2 Approximate Similarity Search for Time Series Data Enhanced by Section Min-Hash
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   Chapter 3 Mutual k -Nearest Neighbor Graph for Data Analysis: Application to Metric Space Clustering
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   Chapter 4 An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search
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   Chapter 5 Unbiased Similarity Estimators Using Samples
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   Chapter 6 Retrieve-and-Rank End-to-End Summarization of Biomedical Studies
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   Chapter 7 Fine-Grained Categorization of Mobile Applications Through Semantic Similarity Techniques for Apps Classification
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   Chapter 8 Runs of Side-Sharing Tandems in Rectangular Arrays
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    Chapter 9 Turbo Scan: Fast Sequential Nearest Neighbor Search in High Dimensions
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    Chapter 10 Class Representatives Selection in Non-metric Spaces for Nearest Prototype Classification
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    Chapter 11 The Dataset-Similarity-Based Approach to Select Datasets for Evaluation in Similarity Retrieval
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    Chapter 12 Suitability of Nearest Neighbour Indexes for Multimedia Relevance Feedback
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    Chapter 13 Accelerating k -Means Clustering with Cover Trees
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    Chapter 14 Is Quantized ANN Search Cursed? Case Study of Quantifying Search and Index Quality
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    Chapter 15 Minwise-Independent Permutations with Insertion and Deletion of Features
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    Chapter 16 SDOclust: Clustering with Sparse Data Observers
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    Chapter 17 Solving k -Closest Pairs in High-Dimensional Data
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    Chapter 18 Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval
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    Chapter 19 Similarity Search with Multiple-Object Queries
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    Chapter 20 Diversity Similarity Join for Big Data
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    Chapter 21 Overview of the SISAP 2023 Indexing Challenge
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    Chapter 22 Enhancing Approximate Nearest Neighbor Search: Binary-Indexed LSH-Tries, Trie Rebuilding, and Batch Extraction
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    Chapter 23 General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo
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    Chapter 24 SISAP 2023 Indexing Challenge – Learned Metric Index
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    Chapter 25 Computational Enhancements of HNSW Targeted to Very Large Datasets
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    Chapter 26 CRANBERRY: Memory-Effective Search in 100M High-Dimensional CLIP Vectors