Feature Extraction
40 papers
Papers per year
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1
1
3
6
3
1
1
1
1
2
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5
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Papers
ICA based on a Smooth Estimation of the Differential Entropy
NeurIPS 2008
Robust Kernel Principal Component Analysis
NeurIPS 2008
Spike Feature Extraction Using Informative Samples
NeurIPS 2008
Heterogeneous Component Analysis
NeurIPS 2007
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
NeurIPS 2007
Random Features for Large-Scale Kernel Machines
NeurIPS 2007
Random Projections for Manifold Learning
NeurIPS 2007
Receptive Fields without Spike-Triggering
NeurIPS 2007
The Distribution Family of Similarity Distances
NeurIPS 2007
MLLE: Modified Locally Linear Embedding Using Multiple Weights
NeurIPS 2006
Recursive ICA
NeurIPS 2006
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets
NeurIPS 2006
Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems
JMLR 2005
Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
JMLR 2004
Dependence, Correlation and Gaussianity in Independent Component Analysis
JMLR 2003