An application of Sparse Code Shrinkage to image steganalysis based on supervised learning.
Michiharu NiimiHideki NodaPublished in: ICIP (2011)
Keyphrases
- supervised learning
- source code
- active learning
- unsupervised learning
- high dimensional
- supervised machine learning
- sparse representation
- training data
- semi supervised learning
- supervised classification
- semi supervised
- statistical learning
- image denoising
- sparse data
- compressive sensing
- learning problems
- sparse coding
- machine learning
- denoising
- training set
- learning algorithm
- database
- labeled data
- multiresolution
- reinforcement learning
- multiple instance learning
- dictionary learning
- training examples
- learning tasks
- support vector
- generalization error
- image processing
- compressed sensing