Approximation, Dimension Reduction, and Nonconvex Optimization Using Linear Superpositions of Gaussians.
Avijit SahaChuan-lin WuDun-Sung TangPublished in: IEEE Trans. Computers (1993)
Keyphrases
- dimension reduction
- feature extraction
- optimization problems
- principal component analysis
- high dimensional
- low dimensional
- singular value decomposition
- data mining and machine learning
- nonlinear programming
- high dimensional problems
- partial least squares
- random projections
- manifold learning
- mathematical program
- linear discriminant analysis
- discriminative information
- cluster analysis
- variable selection
- linear combination
- feature selection
- unsupervised learning
- high dimensionality
- dimensionality reduction
- high dimensional data analysis
- feature space
- convex optimization
- high dimensional data
- support vector machine svm
- preprocessing
- face recognition
- computer vision
- data sets
- microarray
- stationary points
- dimension reduction methods