Beyond PCA: A Probabilistic Gram-Schmidt Approach to Feature Extraction.
Bahram YaghootiNetanel RavivBruno SinopoliPublished in: CoRR (2023)
Keyphrases
- feature extraction
- principal component analysis
- principal components analysis
- dimensionality reduction
- discriminant analysis
- dimension reduction
- principle component analysis
- face recognition
- feature vectors
- pattern recognition
- kernel principal component analysis
- linear discriminant analysis
- preprocessing
- principal components
- face images
- low dimensional
- covariance matrix
- feature representation
- pattern classification
- image processing
- discriminant projection
- neural classifier
- uncertain data
- frequency domain
- feature extraction and classification
- bayesian networks
- gabor features
- wavelet transform
- extracted features
- feature set
- texture analysis
- support vector machine svm
- texture features
- posterior probability
- facial expression recognition
- image classification
- probability distribution
- recognition rate
- feature selection
- extracting features
- generative model
- appearance based object recognition