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CVPR
2006
IEEE
16 years 1 months ago
When Fisher meets Fukunaga-Koontz: A New Look at Linear Discriminants
The Fisher Linear Discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates class patterns according to Fisher's Criteri...
Sheng Zhang, Terence Sim
HIS
2008
15 years 1 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
77
Voted
IMECS
2007
15 years 1 months ago
A New Class Based Associative Classification Algorithm
—applying the association rule into classification can improve the accuracy and obtain some valuable rules and information that cannot be captured by other classification approac...
Zhonghua Tang, Qin Liao
SODA
2010
ACM
151views Algorithms» more  SODA 2010»
15 years 9 months ago
A Max-Flow/Min-Cut Algorithm for a Class of Wireless Networks
The linear deterministic model of relay channels is a generalization of the traditional directed network model which has become popular in the study of the flow of information ove...
S. M. Sadegh Tabatabaei Yazdi, Serap A. Savari
MCS
2010
Springer
15 years 4 months ago
Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC
We have previously described an incremental learning algorithm, Learn++ .NC, for learning from new datasets that may include new concept classes without accessing previously seen d...
Gregory Ditzler, Michael D. Muhlbaier, Robi Polika...