Representation Optimization with Feature Selection and Manifold Learning in a Holistic Classification Framework.

Fabian Bürger Josef Pauli

Published in: ICPRAM (1) (2015)

Keyphrases

manifold learning
feature selection
feature extraction
dimension reduction
classification accuracy
dimensionality reduction
support vector machine
feature space
feature mapping

model selection
support vector
high dimensionality
manifold embedding
low dimensional
semi supervised
high dimensional data
high dimensional
machine learning

laplacian eigenmaps
diffusion maps
feature subset
nonlinear manifold
pattern recognition
support vector machine svm
image representation
multi task

latent space
decision trees
computer vision
image classification
subspace learning
dimensionality reduction methods
feature set
nearest neighbor