A class of learning algorithms for principal component analysis and minor component analysis.
Qingfu ZhangYiu-Wing LeungPublished in: IEEE Trans. Neural Networks Learn. Syst. (2000)
Keyphrases
- component analysis
- principal component analysis
- learning algorithm
- blind source separation
- factor analysis
- independent component analysis
- machine learning algorithms
- subspace projection
- linear dimensionality reduction
- low dimensional
- linear transform
- grassmann manifold
- subspace learning
- dimensionality reduction
- lower bound
- machine learning
- data sets
- image classification
- negative matrix factorization
- face images
- nearest neighbor
- pattern recognition
- feature extraction
- neural network