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ICPR
2008
IEEE
15 years 11 months ago
The implication of data diversity for a classifier-free ensemble selection in random subspaces
Ensemble of Classifiers (EoC) has been shown effective in improving the performance of single classifiers by combining their outputs. By using diverse data subsets to train classi...
Albert Hung-Ren Ko, Robert Sabourin, Luiz E. Soare...
ICASSP
2008
IEEE
15 years 4 months ago
Target detection and identification using canonical correlation analysis and subspace partitioning
We present a data-driven approach for target detection and identification based on a linear mixture model. Our aim is to determine the existence of certain targets in a mixture w...
Wei Wang 0018, Tülay Adali, Darren Emge
IDA
2007
Springer
15 years 4 months ago
Combining Bagging and Random Subspaces to Create Better Ensembles
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...
Pance Panov, Saso Dzeroski
SLSFS
2005
Springer
15 years 3 months ago
Generalization Bounds for Subspace Selection and Hyperbolic PCA
We present a method which uses example pairs of equal or unequal class labels to select a subspace with near optimal metric properties in a kernel-induced Hilbert space. A represen...
Andreas Maurer
NIPS
2007
14 years 11 months ago
Subspace-Based Face Recognition in Analog VLSI
We describe an analog-VLSI neural network for face recognition based on subspace methods. The system uses a dimensionality-reduction network whose coefficients can be either progr...
Gonzalo Carvajal, Waldo Valenzuela, Miguel Figuero...