Unsupervised Deep Feature Extraction for Neonatal Sleep Stage Classification.
Nick SeeuwsAmir Hossein AnsariSabine Van HuffelGunnar NaulaersPublished in: BNAIC/BENELEARN (2019)
Keyphrases
- feature extraction
- sleep stage
- feature vectors
- pattern classification
- image classification
- pattern recognition
- feature selection
- support vector machine svm
- dimension reduction
- unsupervised clustering
- supervised classification
- feature extraction and classification
- sleep apnea
- unsupervised learning
- decision trees
- supervised learning
- classification accuracy
- support vector
- preprocessing
- feature set
- classification scheme
- partially supervised
- face recognition
- text classification
- feature representation
- image processing
- unsupervised classification
- automatic classification
- extracted features
- grey level co occurrence matrix
- machine learning
- fisher linear discriminant
- texture analysis
- pattern representation
- kernel principal component analysis
- texture classification
- discriminant analysis
- frequency domain
- dimensionality reduction
- principal component analysis
- multi class
- training set
- feature space