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IMR
2004
Springer
14 years 1 months ago
Mesh Smoothing Schemes Based on Optimal Delaunay Triangulations
We present several mesh smoothing schemes based on the concept of optimal Delaunay triangulations. We define the optimal Delaunay triangulation (ODT) as the triangulation that mi...
Long Chen
BMCBI
2008
228views more  BMCBI 2008»
13 years 8 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
IAT
2005
IEEE
14 years 1 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
PLDI
2000
ACM
14 years 10 days ago
Field analysis: getting useful and low-cost interprocedural information
We present a new limited form of interprocedural analysis called field analysis that can be used by a compiler to reduce the costs of modern language features such as objectorien...
Sanjay Ghemawat, Keith H. Randall, Daniel J. Scale...
TKDE
2008
162views more  TKDE 2008»
13 years 7 months ago
Continuous k-Means Monitoring over Moving Objects
Given a dataset P, a k-means query returns k points in space (called centers), such that the average squared distance between each point in P and its nearest center is minimized. S...
Zhenjie Zhang, Yin Yang, Anthony K. H. Tung, Dimit...