Incomplete Pivoted QR-based Dimensionality Reduction.
Amit BermanisAviv RotbartMoshe SalhovAmir AverbuchPublished in: CoRR (2016)
Keyphrases
- dimensionality reduction
- singular value decomposition
- linear discriminant analysis
- pattern recognition
- high dimensional data
- principal component analysis
- manifold learning
- low dimensional
- data representation
- feature extraction
- error correction
- qr decomposition
- high dimensional
- lower dimensional
- pattern recognition and machine learning
- high dimensionality
- noisy data
- input space
- preprocessing step
- principal components
- random projections
- data points
- missing values
- dimension reduction
- nonlinear dimensionality reduction
- semi supervised dimensionality reduction
- euclidean distance
- incomplete data
- structure preserving
- uncertain information
- feature space
- sparse representation
- incomplete knowledge
- neural network
- data sets
- support vector machine
- kernel learning
- kernel pca
- dimensionality reduction methods
- similarity measure
- graph embedding
- missing data
- linear dimensionality reduction
- linear projection
- feature selection