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Statistical theory / R-tree / Bregman divergence / Kullback–Leibler divergence / Nearest neighbor search / Divergence / IDistance / K-d tree / Minimum bounding rectangle / Geometry / Mathematics / Statistics


Similarity Search on Bregman Divergence: Towards Non-Metric Indexing Zhenjie Zhang1 1 Beng Chin Ooi1
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Document Date: 2009-07-27 10:29:02


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City

Lyon / /

Company

Red hat / IBM / 3M / I/O / ACM / /

Country

France / Singapore / /

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Event

Reorganization / /

Facility

Ohio State University / /

IndustryTerm

baseline algorithm / file solutions / pre-processing step / database infrastructure / x255 server / multimedia systems / search range / query processing / database systems / binary search / range search / real world applications / range query search / query processing performance / binary search operation / dot product / above nearest neighbor search algorithm / similarity search / main-memory algorithm / query processing efficiency / interoperable solution / kernel learning algorithms / main-memory based algorithm / query answering algorithm / range search algorithm / nearest neighbor search / /

OperatingSystem

Red hat Linux / /

Organization

VLDB Endowment / Very Large Data Base Endowment / Beng Chin Ooi1 Srinivasan Parthasarathy2 Anthony K.H. Tung1 School of Computing / Ohio State University / /

Person

Jim Gray / Jim GrayPwill / /

Position

author / vP / co-author / /

Product

Linux / KL / M14 / /

PublishedMedium

National U / /

Technology

range search algorithm / kernel learning algorithms / main-memory based algorithm / speech recognition / Bioinformatics / baseline algorithm / artificial intelligence / Linux / machine learning / query answering algorithm / above nearest neighbor search algorithm / DBMS / main-memory algorithm / SCSI / /

URL

http /

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