Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks.
Abin JoseQi MeiDennis EschweilerIna LaubeJohannes StegmaierPublished in: ICIP (2022)
Keyphrases
- metric learning
- linear discriminant analysis
- dimensionality reduction
- neural network
- feature space
- discriminant analysis
- pattern recognition
- discriminative information
- principal component analysis
- distance metric
- high dimensional data
- feature extraction
- dimension reduction
- face recognition
- semi supervised
- high dimensional
- low dimensional
- kernel matrix
- learning tasks
- principal components analysis
- nearest neighbor classification
- data points
- multi task
- linear transformation
- distance function
- pairwise
- support vector
- euclidean distance
- unsupervised learning
- dimensionality reduction methods
- singular value decomposition
- distance measure
- principal components
- feature selection
- machine learning
- learning algorithm
- kernel pca
- training data
- manifold learning
- labeled data