Orthogonal sparse eigenvectors: A procrustes problem.
Konstantinos BenidisYing SunPrabhu BabuDaniel Pérez PalomarPublished in: ICASSP (2016)
Keyphrases
- eigenvalue decomposition
- sparse data
- high dimensional
- principal component analysis
- shape analysis
- covariance matrix
- singular value decomposition
- data sets
- spectral clustering
- principal components
- procrustes analysis
- hessian matrix
- sparse matrix
- random projections
- sparse representation
- computer vision
- learning algorithm
- compressed sensing
- eigendecomposition
- denoising
- affinity matrix
- correlation matrix
- feature extraction
- orthogonal polynomials
- eigenvalue problems