Image Classification by Feature Dimension Reduction and Graph based Ranking
Nan YaoFeng QianZuolei SunPublished in: CoRR (2013)
Keyphrases
- dimension reduction
- image classification
- feature extraction
- image features
- feature vectors
- manifold learning
- principal component analysis
- high dimensional
- singular value decomposition
- high dimensional problems
- feature selection
- data mining and machine learning
- high dimensional data
- low dimensional
- partial least squares
- variable selection
- random projections
- feature space
- discriminative information
- bag of words
- feature set
- linear discriminant analysis
- unsupervised learning
- visual words
- cluster analysis
- dimensionality reduction
- image representation
- feature subspace
- high dimensionality
- preprocessing
- preprocessing step
- high dimensional data analysis
- data sets
- sparse metric learning
- sparse coding
- sparse representation
- least squares
- semi supervised
- image data
- probabilistic model
- neural network