Machine learning based non-intrusive quality estimation with an augmented feature set.
Mona HakamiW. Bastiaan KleijnPublished in: ICASSP (2017)
Keyphrases
- feature set
- quality estimation
- machine learning
- feature selection
- feature extraction
- feature space
- classification accuracy
- random forest
- feature vectors
- quality metrics
- machine learning methods
- texture features
- data mining
- support vector machine
- text mining
- natural language processing
- information extraction
- data analysis
- pattern recognition
- learning algorithm
- text classification
- model selection
- individual features
- extracted features
- feature subset
- computer vision
- selected features
- supervised learning
- training data
- feature representation
- ranking functions
- high quality
- feature reduction
- text categorization
- training set
- feature selections