An Improved Low Rank Detector in the High Dimensional Regime.
Pascal ValletGuillaume GinolhacFrédéric PascalPhilippe ForsterPublished in: ICASSP (2019)
Keyphrases
- low rank
- high dimensional
- high dimensional data
- missing data
- convex optimization
- linear combination
- dimensionality reduction
- low dimensional
- matrix factorization
- high dimensionality
- singular value decomposition
- rank minimization
- similarity search
- low rank matrix
- matrix completion
- kernel matrix
- matrix decomposition
- high order
- semi supervised
- low rank matrices
- nearest neighbor
- data points
- minimization problems
- trace norm
- robust principal component analysis
- manifold learning
- non rigid structure from motion
- feature space
- data sets
- subspace clustering
- missing values
- singular values
- kernel function
- principal component analysis
- recommender systems
- pairwise
- machine learning