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Efficient User-Adaptable Similarity Search in Large Multimedia Databases Thomas Seidl Hans-Peter Kriegel
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Document Date: 2006-07-29 01:46:56

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File Size: 1,04 MB

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Denver / Evanston / Tucson / Minneapolis / Boston / Athens / Atlantic City / City / Mumbai / /

Company

Cambridge University Press / USt / E. On / ZSt SA / Teukolsky S. A. / CAD Database Systems / Information Systems / Spatial Database Systems / Database Systems / HP / GM / /

Country

Germany / United Kingdom / Singapore / Greece / India / /

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Facility

Large Multimedia Databases Thomas Seidl Hans-Peter Kriegel Institute / Germany seidl@dbs.informatik.uni-muenchende Institute / Computer Science University of Munich / /

IndustryTerm

index-based query processing / multi-step query processing technique / query processing / similarity search techniques / medical imaging / linear programming algorithm / image similarity search system / paradigmof multi-step query processing / similarity search / multistep query processing architecture / range query processing / multi-step query processing architecture / multi-step query processing / similarity query processing / present efficient algorithms / implementedandevaluatedour algorithms / multi-step similarity query processing / ellipsoid query processing / multi-step query processing paradigm / /

MarketIndex

Structural Feature / /

OperatingSystem

HP-UX / /

Organization

Cambridge University / Foundationsof Data Organization / Computer Science University of Munich / Germany seidl@dbs.informatik.uni-muenchende Institute / German Ministry for Education / Science / Research and Technology / IEEE Trans.on Pattern Analysis and Machine Intelligence / Very Large Data Base Endowment / Large Multimedia Databases Thomas Seidl Hans-Peter Kriegel Institute / /

Person

Morgan Kaufmann / /

Position

dA;WB / /

Product

Pentax K-x Digital Camera / /

ProgrammingLanguage

C++ / /

ProvinceOrState

New Jersey / Minnesota / Alaska / Illinois / Arizona / Massachusetts / Colorado / /

PublishedMedium

the VLDB Journal / Lecture Notes in Computer Science / /

Technology

index-based algorithms / Evaluation We implementedandevaluatedour algorithms / linear programming algorithm / Data Modeling / 3.2 Basic Distance Algorithm / CAD / medical imaging / /

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