Logarithmic Dimension Reduction for Quantum Neural Networks.
Hankyul BaekSoohyun ParkJoongheon KimPublished in: CIKM (2023)
Keyphrases
- dimension reduction
- neural network
- principal component analysis
- feature extraction
- high dimensional problems
- low dimensional
- feature selection
- data mining and machine learning
- high dimensionality
- high dimensional
- high dimensional data
- variable selection
- singular value decomposition
- pattern recognition
- high dimensional data analysis
- dimension reduction methods
- discriminative information
- partial least squares
- random projections
- cluster analysis
- linear discriminant analysis
- manifold learning
- dimensionality reduction
- feature space
- preprocessing
- self organizing maps
- unsupervised learning
- data analysis
- object recognition
- feature vectors
- support vector
- intrinsic dimension
- manifold embedding
- text classification
- data sources