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FSKD
2006
Springer
147views Fuzzy Logic» more  FSKD 2006»
15 years 10 months ago
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-M...
WSC
2004
15 years 8 months ago
An Event Graph Based Simulation and Scheduling Analysis of Multi-Cluster Tools
Simulation methods are extensively used in modeling complex scheduling problems. However, traditional layout of simulation models can become complicated when they are used to find...
Shengwei Ding, Jingang Yi
WCET
2007
15 years 7 months ago
Clustering Worst-Case Execution Times for Software Components
For component-based systems, classical techniques for Worst-Case Execution Time (WCET) estimation produce unacceptable overestimations of a components WCET. This is because softwa...
Johan Fredriksson, Thomas Nolte, Andreas Ermedahl,...
DKE
2008
87views more  DKE 2008»
15 years 6 months ago
Region clustering based evaluation of multiple top-N selection queries
In many database applications, there are opportunities for multiple top-N queries to be evaluated at the same time. Often it is more cost effective to evaluate multiple such queri...
Liang Zhu, Weiyi Meng, Wenzhu Yang, Chunnian Liu
ICARCV
2002
IEEE
92views Robotics» more  ICARCV 2002»
15 years 11 months ago
LTSD: a highly efficient symmetry-based robust estimator
Although the least median of squares (LMedS) method and the least trimmed squares (LTS) method are said to have a high breakdown point (50%), they can break down at unexpectedly l...
Hanzi Wang, David Suter