SqueezeFit: Label-Aware Dimensionality Reduction by Semidefinite Programming.
Culver McWhirterDustin G. MixonSoledad VillarPublished in: IEEE Trans. Inf. Theory (2020)
Keyphrases
- semidefinite programming
- dimensionality reduction
- kernel matrix
- linear programming
- metric learning
- input space
- semidefinite
- principal component analysis
- high dimensional
- primal dual
- feature space
- high dimensional data
- low dimensional
- kernel learning
- multi label
- pattern recognition
- feature extraction
- data representation
- feature selection
- principal components
- maximum margin
- kernel function
- kernel methods
- singular value decomposition
- euclidean distance
- machine learning
- data points
- face recognition
- class labels
- least squares
- knn
- support vector
- learning algorithm