Image analysis with nonlinear adaptive dimension reduction.
Xinlei ChenXinquan QuZijian LiPublished in: ICIMCS (2011)
Keyphrases
- dimension reduction
- image analysis
- principal component analysis
- manifold embedding
- feature extraction
- singular value decomposition
- high dimensional problems
- variable selection
- high dimensional
- pattern recognition
- nonlinear manifold
- manifold learning
- feature selection
- data mining and machine learning
- feature space
- high dimensionality
- partial least squares
- computer vision
- low dimensional
- unsupervised learning
- high dimensional data
- cluster analysis
- random projections
- dimensionality reduction
- discriminative information
- linear discriminant analysis
- image processing
- nearest neighbor
- preprocessing
- data sets
- high dimensional data analysis
- dimension reduction methods
- object recognition
- neural network
- discriminant analysis
- text mining
- image data
- knowledge discovery
- feature vectors
- data analysis
- intrinsic dimension
- bayesian networks
- machine learning