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Asymptotic performance for subspace bearing methods with separable nuisance parameters in presence of modeling errors.
Anne Ferréol
Eric Boyer
Pascal Larzabal
Published in:
ICASSP (4) (2005)
Keyphrases
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significant improvement
empirical studies
benchmark datasets
machine learning methods
support vector
neural network
decision trees
feature extraction
feature space
dimensionality reduction
high dimensional data
machine learning algorithms
principal components