Tensor principal component analysis via sum-of-square proofs.
Samuel B. HopkinsJonathan ShiDavid SteurerPublished in: COLT (2015)
Keyphrases
- principal component analysis
- dimensionality reduction
- tensor analysis
- principal components
- independent component analysis
- high order
- dimension reduction
- theorem proving
- higher order
- discriminant analysis
- formal proofs
- feature extraction
- covariance matrix
- linear discriminant analysis
- theorem prover
- feature space
- face recognition
- diffusion tensor
- square error
- neural network
- formal proof
- neural classifier
- low dimensional
- singular value decomposition
- subspace learning
- face images
- tensor product
- order tensor
- mathematical proofs
- training procedure
- weighted sum
- support vector machine
- high dimensional
- feature selection