Compression-Aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations.
Yu-Shan TaiChieh-Fang TengCheng-Yang ChangAn-Yeu Andy WuPublished in: ICASSP (2022)
Keyphrases
- dimension reduction
- convolutional neural network
- feature selection
- linear projection
- face detection
- principal component analysis
- feature extraction
- high dimensional
- high dimensionality
- high dimensional problems
- data mining and machine learning
- low dimensional
- linear discriminant analysis
- singular value decomposition
- random projections
- unsupervised learning
- partial least squares
- variable selection
- high dimensional data analysis
- manifold learning
- high dimensional data
- feature space
- cluster analysis
- neural network
- discriminative information
- dimensionality reduction
- dimension reduction methods
- discriminant analysis
- projection matrix
- manifold embedding
- preprocessing
- learning algorithm