Titlebook: Similarity Search and Applications; 11th International C Stéphane Marchand-Maillet,Yasin N. Silva,Edgar Chá Conference proceedings 2018 Spr

皱纹

书目名称Similarity Search and Applications影响因子(影响力)




书目名称Similarity Search and Applications影响因子(影响力)学科排名




书目名称Similarity Search and Applications网络公开度




书目名称Similarity Search and Applications网络公开度学科排名




书目名称Similarity Search and Applications被引频次




书目名称Similarity Search and Applications被引频次学科排名




书目名称Similarity Search and Applications年度引用




书目名称Similarity Search and Applications年度引用学科排名




书目名称Similarity Search and Applications读者反馈




书目名称Similarity Search and Applications读者反馈学科排名

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What Is the Role of Similarity for Known-Item Search at Video Browser Showdown?cuss the observed difficulty of known-item search tasks, categorize employed interaction components (relying on similarity models) and inspect successful interactive known-item searches from the recent iteration of the competition. Finally, open similarity search challenges for known-item search in video are presented.

恭维

LID-Fingerprint: A Local Intrinsic Dimensionality-Based Fingerprinting Methodrmation content of the data, thus ensuring data suppression and data masking. Experimental results show that LID-Fingerprint is able to generate compact binary fingerprints while allowing a reasonable level of search accuracy.

Ganglion-Cyst

0302-9743 in Lima, Peru, in October 2018..The 16 full papers presented together with 3 short papers and 1 demonstration paper were carefully reviewed and selected from 31 submissions. The papers deal with issues surrounding the theory, design, analysis, practice, and application of content-based and feature-b

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thrombosis

Querying Metric Spaces with Bit Operationsanisms use a “just-in-time” approach where distances are calculated as part of a navigational strategy. An alternative is to use a“one-time” approach, where distances to a fixed set of reference objects are calculated at the start of each query. These distances are typically used to re-cast data and

Coronary-Spasm

Relative Minimum Distance Between Projected Bags for Improved Multiple Instance Classificationpping that brings closer, at least, a single instance from each positive training bag, while the negative-bags instances are driven apart. Our results show an increased classification performance on a broad type of real-world datasets.

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