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DAWAK
2005
Springer
14 years 10 days ago
Nearest Neighbor Search on Vertically Partitioned High-Dimensional Data
Abstract. In this paper, we present a new approach to indexing multidimensional data that is particularly suitable for the efficient incremental processing of nearest neighbor quer...
Evangelos Dellis, Bernhard Seeger, Akrivi Vlachou
AAAI
2007
13 years 9 months ago
Action-Space Partitioning for Planning
For autonomous artificial decision-makers to solve realistic tasks, they need to deal with searching through large state and action spaces under time pressure. We study the probl...
Natalia Hernandez-Gardiol, Leslie Pack Kaelbling
DEXA
2010
Springer
187views Database» more  DEXA 2010»
13 years 4 months ago
Pivot Selection Method for Optimizing both Pruning and Balancing in Metric Space Indexes
We researched to try to find a way to reduce the cost of nearest neighbor searches in metric spaces. Many similarity search indexes recursively divide a region into subregions by u...
Hisashi Kurasawa, Daiji Fukagawa, Atsuhiro Takasu,...
SC
2005
ACM
14 years 11 days ago
A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L
Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadth...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...
CIKM
2009
Springer
14 years 1 months ago
Maximal metric margin partitioning for similarity search indexes
We propose a partitioning scheme for similarity search indexes that is called Maximal Metric Margin Partitioning (MMMP). MMMP divides the data on the basis of its distribution pat...
Hisashi Kurasawa, Daiji Fukagawa, Atsuhiro Takasu,...