Explicit Dimension Reduction and Its Applications.
Zohar Shay KarninYuval RabaniAmir ShpilkaPublished in: Computational Complexity Conference (2011)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- low dimensional
- random projections
- variable selection
- singular value decomposition
- high dimensional problems
- feature extraction
- high dimensional data
- manifold learning
- data mining and machine learning
- discriminative information
- feature selection
- unsupervised learning
- partial least squares
- high dimensional data analysis
- high dimensionality
- cluster analysis
- feature space
- preprocessing
- linear discriminant analysis
- intrinsic dimension
- dimension reduction methods
- dimensionality reduction
- face recognition
- image processing
- computer vision
- machine learning