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» Extensible Point Location Algorithm
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SDM
2009
SIAM
117views Data Mining» more  SDM 2009»
15 years 7 months ago
Spatially Cost-Sensitive Active Learning.
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
Alexander Liu, Goo Jun, Joydeep Ghosh
GIS
2005
ACM
15 years 10 months ago
Improving the R*-tree with outlier handling techniques
The R*-tree, as a state-of-the-art spatial index, has already found its way into commercial systems like Oracle. In this paper, we aim at improving query performance of the R*tree...
Tian Xia, Donghui Zhang
TSP
2010
14 years 4 months ago
Sampling piecewise sinusoidal signals with finite rate of innovation methods
We consider the problem of sampling piecewise sinusoidal signals. Classical sampling theory does not enable perfect reconstruction of such signals since they are not bandlimited. ...
Jesse Berent, Pier Luigi Dragotti, Thierry Blu
NN
2000
Springer
192views Neural Networks» more  NN 2000»
14 years 9 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
CIMCA
2005
IEEE
15 years 3 months ago
A Hybrid Estimation of Distribution Algorithm for the Minimal Switching Graph Problem
Minimal Switching Graph (MSG) is a graphical model for the constrained via minimization problem — a combinatorial optimization problem in integrated circuit design automation. F...
Maolin Tang, Raymond Y. K. Lau