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Titlebook: Similarity Search and Applications; 9th International Co Laurent Amsaleg,Michael E. Houle,Erich Schubert Conference proceedings 2016 Spring

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书目名称Similarity Search and Applications
副标题9th International Co
编辑Laurent Amsaleg,Michael E. Houle,Erich Schubert
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Similarity Search and Applications; 9th International Co Laurent Amsaleg,Michael E. Houle,Erich Schubert Conference proceedings 2016 Spring
描述.This book constitutes the proceedings of the 9th International Conference on Similarity Search and Applications, SISAP 2016, held in Tokyo, Japan, in October 2016..The 18 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 47 submissions. The program of the conference was grouped in 8 categories as follows: graphs and networks; metric and permutation-based indexing; multimedia; text and document similarity; comparisons and benchmarks; hashing techniques; time-evolving data; and scalable similarity search..
出版日期Conference proceedings 2016
关键词big data systems; database management; formal languages; high-dimensional space; pattern recognition; dat
版次1
doihttps://doi.org/10.1007/978-3-319-46759-7
isbn_softcover978-3-319-46758-0
isbn_ebook978-3-319-46759-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2016
The information of publication is updating

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Pruned Bi-directed K-nearest Neighbor Graph for Proximity Searchse the k-nearest neighbor graph (KNNG) as an index perform better than tree-based and hash-based methods in terms of search precision and query time. To further improve the performance of the KNNG, the number of edges should be increased. However, increasing the number takes up more memory, while th
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Quantifying the Invariance and Robustness of Permutation-Based Indexing Schemesays of large-scale Information Systems. Similarity search, requiring to resolve nearest neighbor (NN) searches, is a fundamental tool for structuring information space. Permutation-based Indexing (PBI) is a reference-based indexing scheme that accelerates NN search by combining the use of landmark p
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Deep Permutations: Deep Convolutional Neural Networks and Permutation-Based Indexingic visual similarity search tasks..Recently scientists have shown that permutation-based methods offer very good performance in indexing and supporting approximate similarity search on large database of objects. Permutation-based approaches represent metric objects as sequences (permutations) of ref
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Patch Matching with Polynomial Exponential Families and Projective Divergencesal task that is time consuming, specially when zoom factors and symmetries are handled. The matching results heavily depend on the underlying notion of distances, or similarities, between patches. We present a method that consists in modeling patches by flexible statistical parametric distributions
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Known-Item Search in Video Databases with Textual Queries objects to be labeled with an arbitrary ImageNet classification model. During the search, the set of query words is expanded with synonyms and hypernyms until we encounter words present in the database which are consequently searched for. In the second approach, we delegate the query to an independ
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