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TKDE
1998
122views more  TKDE 1998»
13 years 7 months ago
The Design and Implementation of Seeded Trees: An Efficient Method for Spatial Joins
—Existing methods for spatial joins require pre-existing spatial indices or other precomputation, but such approaches are inefficient and limited in generality. Operand data sets...
Ming-Ling Lo, Chinya V. Ravishankar
ICML
2000
IEEE
14 years 8 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore
ESA
2000
Springer
73views Algorithms» more  ESA 2000»
13 years 11 months ago
K-D Trees Are Better when Cut on the Longest Side
We show that a popular variant of the well known k-d tree data structure satisfies an important packing lemma. This variant is a binary spatial partitioning tree T defined on a set...
Matthew Dickerson, Christian A. Duncan, Michael T....
CGF
2010
181views more  CGF 2010»
13 years 7 months ago
Matrix Trees
Recent advances in GPU programmability and architecture have allowed for the generation of ray casted or ray traced images at interactive rates. How quickly these images can be ge...
Nathan Andrysco, Xavier Tricoche
SAC
2005
ACM
14 years 1 months ago
Indexing continuously changing data with mean-variance tree
: Traditional spatial indexes like R-tree usually assume the database is not updated frequently. In applications like location-based services and sensor networks, this assumption i...
Yuni Xia, Sunil Prabhakar, Shan Lei, Reynold Cheng...