Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction.
Akira ImakuraMomo MatsudaXiucai YeTetsuya SakuraiPublished in: AAAI (2019)
Keyphrases
- dimensionality reduction
- real world
- unsupervised learning
- learning algorithm
- feature selection
- feature extraction
- high dimensional data
- pattern recognition and machine learning
- data representation
- complex data
- high dimensional
- principal component analysis
- supervised learning
- structure preserving
- principal components
- linear discriminant analysis
- least squares
- d objects
- feature space
- object recognition
- high level
- machine learning