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FSKD
2008
Springer
174views Fuzzy Logic» more  FSKD 2008»
13 years 10 months ago
A Hybrid Re-sampling Method for SVM Learning from Imbalanced Data Sets
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
Peng Li, Pei-Li Qiao, Yuan-Chao Liu
CP
2004
Springer
14 years 2 months ago
Hybrid Set Domains to Strengthen Constraint Propagation and Reduce Symmetries
In CP literature combinatorial design problems such as sport scheduling, Steiner systems, error-correcting codes and more, are typically solved using Finite Domain (FD) models desp...
Andrew Sadler, Carmen Gervet
CIDM
2009
IEEE
14 years 3 months ago
Diversity analysis on imbalanced data sets by using ensemble models
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Shuo Wang, Xin Yao
SCALESPACE
2005
Springer
14 years 2 months ago
Sparse Finite Element Level-Sets for Anisotropic Boundary Detection in 3D Images
Level-Set methods have been successfully applied to 2D and 3D boundary detection problems. The geodesic active contour model has been particularly successful. Several algorithms fo...
Martin Weber, Andrew Blake, Roberto Cipolla
ICPR
2008
IEEE
14 years 3 months ago
A new global shape prior for level set based segmentation
The global shape prior knowledge has been exploited by many image segmentation approaches in order to improve segmentation results when there are such problems as occlusion, clutt...
Lei Zhang, Qiang Ji