Investigation of low dimensional feature spaces for automatic sleep staging.
Yousef Rezaei TabarKaare B. MikkelsenMike Lind RankMartin Christian HemmsenPreben KidmosePublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- low dimensional
- high dimensional
- feature space
- dimensionality reduction
- high dimensional data
- input space
- data points
- euclidean space
- dimension reduction
- manifold learning
- principal component analysis
- high dimensionality
- multidimensional scaling
- pattern recognition
- semi automatic
- feature representation
- computer vision
- training samples
- subspace learning
- graph embedding
- similarity search
- image classification
- image retrieval
- feature extraction
- feature selection