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» New Data Structures for Orthogonal Range Searching
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MICAI
2004
Springer
14 years 23 days ago
Faster Proximity Searching in Metric Data
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
Edgar Chávez, Karina Figueroa
COMPGEOM
2005
ACM
13 years 9 months ago
The skip quadtree: a simple dynamic data structure for multidimensional data
We present a new multi-dimensional data structure, which we call the skip quadtree (for point data in R2) or the skip octree (for point data in Rd, with constant d > 2). Our da...
David Eppstein, Michael T. Goodrich, Jonathan Z. S...
ISAAC
2005
Springer
129views Algorithms» more  ISAAC 2005»
14 years 28 days ago
SkipTree: A Scalable Range-Queryable Distributed Data Structure for Multidimensional Data
This paper presents the SkipTree, a new balanced, distributed data structure for storing data with multidimensional keys in a peer-topeer network. The SkipTree supports range quer...
Saeed Alaei, Mohammad Toossi, Mohammad Ghodsi
CCCG
2008
13 years 8 months ago
Data Structures for Range-Aggregate Extent Queries
We consider a generalization of geometric range searching, with the goal of generating an informative "summary" of the objects contained in a query range via the applica...
Ravi Janardan, Prosenjit Gupta, Yokesh Kumar, Mich...
CN
2004
148views more  CN 2004»
13 years 7 months ago
Multiway range trees: scalable IP lookup with fast updates
In this paper, we introduce a new IP lookup scheme with worst-case search and update time of O(log n), where n is the number of prefixes in the forwarding table. Our scheme is base...
Priyank Ramesh Warkhede, Subhash Suri, George Varg...