Boosting Higher-Order Correlation Attacks by Dimensionality Reduction.
Nicolas BruneauJean-Luc DangerSylvain GuilleyAnnelie HeuserYannick TegliaPublished in: SPACE (2014)
Keyphrases
- higher order
- dimensionality reduction
- feature selection
- natural images
- high dimensional
- unsupervised feature learning
- low dimensional
- principal component analysis
- high order
- feature extraction
- high dimensional data
- pattern recognition
- high dimensionality
- countermeasures
- pairwise
- structure preserving
- data representation
- linear discriminant analysis
- low order
- feature space
- pattern recognition and machine learning
- principal components
- correlation coefficient
- manifold learning
- metric learning
- dimensionality reduction methods
- ensemble learning
- lower order
- boosting algorithms
- random projections
- data points
- ensemble methods
- machine learning
- conditional random fields
- weak classifiers
- watermarking algorithm
- image processing
- watermarking technique
- decision trees
- malicious attacks
- learning algorithm