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Titlebook: Similarity Search and Applications; 16th International C Oscar Pedreira,Vladimir Estivill-Castro Conference proceedings 2023 The Editor(s)

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Martin Aumüller,Matteo Ceccarello their children? - Why do parents choose to home school their children? - How are parents involved in their home schooling? - What is accomplished in doing so? This book is the first book in relation to home schooling in China. This book will be essential reading for researchers, postgraduate studen
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Finding HSP Neighbors via an Exact, Hierarchical Approachvots and the triangle inequality to enable efficient HSP search in general metric spaces. A key component of our approach is the concept of the . between two points, which allows for the invalidation of entire point groups. Our approach ensures the desired properties of the HSP Test with exactness e
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An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Searche literature. Regularization in the form of noise added to the training data can turn the peak into a plateau and applying the optimization in a stochastic fashion, i.e., training on smaller subsets of the data, allows for rapid initialization.
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Retrieve-and-Rank End-to-End Summarization of Biomedical Studiesto Covid-19. Our experimental findings demonstrate that . achieves notably superior ROUGE scores compared to state-of-the-art methodologies, including the establishment of a new SOTA for the generation of systematic literature reviews using .. Quality observation through human evaluation indicates t
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The Dataset-Similarity-Based Approach to Select Datasets for Evaluation in Similarity Retrievalnalyses show that datasets often used together in experiments are more similar than they seem to be at first glance, reducing the variability. The proposed representation of datasets in a similarity space allows future works to improve the choice of datasets for running experiments in similarity ret
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Suitability of Nearest Neighbour Indexes for Multimedia Relevance Feedback SVM classifier and (ii) the index structure itself. We also consider a search-oriented workload, where the goal is to find the first relevant item for a task. The results show that the indexes perform similarly overall, despite differences in their paths to the solution. Interestingly, worse recall
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Is Quantized ANN Search Cursed? Case Study of Quantifying Search and Index Qualitytified using only the index structure and ground-truth data. In our evaluation, we use eCP, a lightweight algorithm that builds the index hierarchy top-down a priori without any costly segmentation of the dataset, and show that significant insight can be gained into the quality of the index structur
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Minwise-Independent Permutations with Insertion and Deletion of Featuresnd deletion of features. We show a rigorous theoretical analysis of our algorithms and complement it with supporting experiments on several real-world datasets. Empirically we observe a significant speed-up in the running time while simultaneously offering comparable performance with respect to runn
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