An Empirical Analysis of Integrating Feature Extraction to Automated Machine Learning Pipeline.
Hassan EldeebShota AmashukeliRadwa El ShawiPublished in: ICPR Workshops (4) (2020)
Keyphrases
- machine learning
- feature extraction
- feature selection
- feature vectors
- pattern recognition
- machine learning algorithms
- semi automated
- machine learning methods
- knowledge acquisition
- image processing
- preprocessing
- inductive learning
- pattern classification
- data mining
- learning systems
- natural language processing
- image classification
- learning tasks
- text classification
- decision trees
- feature fusion
- computational intelligence
- supervised machine learning
- fully automated
- feature space
- knowledge base
- discriminant analysis
- linear discriminant analysis
- active learning
- learning algorithm
- texture features
- frequency domain
- support vector machine
- artificial intelligence
- computer vision
- information extraction
- supervised learning
- processing pipeline
- explanation based learning
- feature representation
- dimensionality reduction
- face images
- knowledge discovery