Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression.
Guodong GuoGuowang MuPublished in: CVPR (2011)
Keyphrases
- partial least squares regression
- human age estimation
- dimensionality reduction
- subspace learning
- principal component analysis
- high dimensional data
- low dimensional
- pattern recognition
- manifold learning
- feature extraction
- neural network
- linear discriminant analysis
- data representation
- high dimensionality
- unsupervised learning
- feature selection
- high dimensional
- data points
- dimension reduction
- feature space
- sparse representation
- age estimation
- object detection
- kernel learning
- image processing