2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm.
Xing LiuXiao-Jun WuZi-Qi LiPublished in: CoRR (2019)
Keyphrases
- principal component analysis
- principal components
- face recognition
- principal components analysis
- dimensionality reduction
- feature extraction
- computationally efficient
- covariance matrix
- principle component analysis
- data structure
- face images
- feature space
- independent component analysis
- computational complexity
- lower dimensional
- learning algorithm
- data sets
- dimension reduction
- random projections
- machine learning
- theoretical analysis
- optimization problems
- low dimensional
- description logics
- significant improvement
- high dimensional
- appearance based object recognition
- extracting features
- computer vision
- dimensionality reduction methods
- image processing
- pattern recognition
- image recognition
- k means
- computational cost
- discriminant analysis
- svm classifier
- benchmark datasets