Performance Analysis of a Low-Rank Detector Under Training Data Contamination.
Pascal ValletGuillaume GinolhacFrédéric PascalPhilippe ForsterPublished in: CAMSAP (2019)
Keyphrases
- low rank
- training data
- matrix factorization
- missing data
- linear combination
- convex optimization
- rank minimization
- low rank matrix
- singular value decomposition
- kernel matrix
- high dimensional data
- matrix completion
- training set
- matrix decomposition
- trace norm
- learning algorithm
- supervised learning
- high order
- semi supervised
- low rank matrices
- data sets
- decision trees
- minimization problems
- singular values
- robust principal component analysis
- class labels
- non rigid structure from motion
- labeled data
- input data
- nearest neighbor
- training samples
- missing values
- training examples
- data points
- neural network