Similarity Search and Applications

Table of Contents

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   Book Overview
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   Chapter 1 Numerical Data Imputation: Choose kNN over Deep Learning
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   Chapter 2 COSINER: COntext SImilarity data augmentation for Named Entity Recognition
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   Chapter 3 An Application of Learned Multi-modal Product Similarity to E-Commerce
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   Chapter 4 Deep Vision-Language Model for Efficient Multi-modal Similarity Search in Fashion Retrieval
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   Chapter 5 Stable Anchors for Matching Unlabelled Point Clouds
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   Chapter 6 Visual Exploration of Human Motion Data
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   Chapter 7 On Projections to Linear Subspaces
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   Chapter 8 Concept of Relational Similarity Search
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    Chapter 9 On the Expected Exclusion Power of Binary Partitions for Metric Search
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    Chapter 10 Similarity Search with the Distance Density Model
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    Chapter 11 Generalized Relative Neighborhood Graph (GRNG) for Similarity Search
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    Chapter 12 A Ptolemaic Partitioning Mechanism
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    Chapter 13 HubHSP Graph: Effective Data Sampling for Pivot-Based Representation Strategies
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    Chapter 14 Graph Edit Distance Compacted Search Tree
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    Chapter 15 Clustering by Direct Optimization of the Medoid Silhouette
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    Chapter 16 Automatic Indexing for Similarity Search in ELKI
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    Chapter 17 Approximate Nearest Neighbor Search on Standard Search Engines
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    Chapter 18 Evaluation of LID-Aware Graph Embedding Methods for Node Clustering
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    Chapter 19 Similarity-Based Unsupervised Evaluation of Outlier Detection
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    Chapter 20 FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level
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    Chapter 21 Causal Disentanglement with Network Information for Debiased Recommendations
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    Chapter 22 Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques
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    Chapter 23 Self-supervised Information Retrieval Trained from Self-generated Sets of Queries and Relevant Documents
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    Chapter 24 Discovering Knowledge Graphs via Attention-Driven Graph Generation
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    Chapter 25 Visual Recommendation and Visual Search for Fashion E-Commerce