Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
35
click to vote
TC
2002
favorite
Email
discuss
report
137
views
Information Technology
»
more
TC 2002
»
Query Indexing and Velocity Constrained Indexing: Scalable Techniques for Continuous Queries on Moving Objects
13 years 10 months ago
Download
www.ics.uci.edu
Sunil Prabhakar, Yuni Xia, Dmitri V. Kalashnikov,
Real-time Traffic
Information Technology
|
TC 2002
|
claim paper
Related Content
»
Indexing Future Trajectories of Moving Objects in a Constrained Network
»
Distributed Continuous Range Query Processing on Moving Objects
»
The BdualTree indexing moving objects by space filling curves in the dual space
»
An Experimental Performance Comparison for Indexing Mobile Objects on the Plane
»
Indexing the Positions of Continuously Moving Objects
»
Towards Increasingly Update Efficient MovingObject Indexing
»
SEACNN Scalable Processing of Continuous KNearest Neighbor Queries in Spatiotemporal Datab...
»
An adaptive updating protocol for reducing moving object database workload
»
Querying Mobile Objects in SpatioTemporal Databases
more »
Post Info
More Details (n/a)
Added
23 Dec 2010
Updated
23 Dec 2010
Type
Journal
Year
2002
Where
TC
Authors
Sunil Prabhakar, Yuni Xia, Dmitri V. Kalashnikov, Walid G. Aref, Susanne E. Hambrusch
Comments
(0)
Researcher Info
Information Technology Study Group
Computer Vision