Dimension reduction-based attributes selection in no-reference learning-based image quality algorithms.
Christophe CharrierAbdelhakim SaadaneChristine Fernandez-MaloignePublished in: IQSP (2017)
Keyphrases
- image quality
- dimension reduction
- data mining and machine learning
- learning algorithm
- quality assessment
- learning process
- high dimensional problems
- visual quality
- high dimensional
- unsupervised learning
- feature extraction
- supervised learning
- machine learning
- principal component analysis
- active learning
- data mining techniques
- low dimensional
- dimensionality reduction
- bit rate
- semi supervised
- singular value decomposition
- image data
- variable selection
- structural similarity
- image quality assessment
- bayesian networks
- data sets