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» The Inverse Classification Problem
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106
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ICML
2006
IEEE
16 years 2 months ago
Pareto optimal linear classification
We consider the problem of choosing a linear classifier that minimizes misclassification probabilities in two-class classification, which is a bi-criterion problem, involving a tr...
Seung-Jean Kim, Alessandro Magnani, Sikandar Samar...
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo
119
Voted
GCB
2003
Springer
164views Biometrics» more  GCB 2003»
15 years 7 months ago
Integrative machine learning approach for multi-class SCOP protein fold classification
: Classification and prediction of protein structure has been a central research theme in structural bioinformatics. Due to the imbalanced distribution of proteins over multi SCOP ...
Aik Choon Tan, David Gilbert, Yves Deville
COMPSAC
2007
IEEE
15 years 5 months ago
Piping Classification to Metamorphic Testing: An Empirical Study towards Better Effectiveness for the Identification of Failures
Mesh simplification is a mainstream technique to render graphics responsively in modern graphical software. However, the graphical nature of the output poses a test oracle problem...
W. K. Chan, Jeffrey C. F. Ho, T. H. Tse
IJCNN
2000
IEEE
15 years 5 months ago
A Training Method with Small Computation for Classification
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
Kazuyuki Hara, Kenji Nakayama