Dimension Reduction and Construction of Feature Space for Image Pattern Recognition.
Hayato ItohAtsushi ImiyaTomoya SakaiPublished in: J. Math. Imaging Vis. (2016)
Keyphrases
- dimension reduction
- feature space
- pattern recognition
- feature extraction
- principal component analysis
- image representation
- image data
- dimensionality reduction
- nonlinear manifold
- input image
- high dimensional
- image classification
- image retrieval
- feature selection
- singular value decomposition
- image features
- high dimensionality
- linear discriminant analysis
- neural network
- low dimensional
- high dimensional problems
- image segmentation
- high dimensional data
- random projections
- principal components
- computer vision
- high dimensional data analysis
- similarity measure
- support vector machine
- machine learning
- microarray
- kernel function
- data points