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SIGMOD
2009
ACM
14 years 8 months ago
2009
ACM
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
FCT
2007
Springer
13 years 12 months ago
2007
Springer
We investigate issues regarding two hard problems related to voting, the optimal weighted lobbying problem and the winner problem for Dodgson elections. Regarding the former, Chris...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...
PAMI
1998
13 years 7 months ago
1998
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
SSD
2001
Springer
14 years 14 days ago
2001
Springer
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...