σ-PCA: a building block for neural learning of identifiable linear transformations.
Fahdi KanavatiLucy KatsnithMasayuki TsunekiPublished in: Trans. Mach. Learn. Res. (2024)
Keyphrases
- data points
- building blocks
- neural learning
- linear transformations
- dimensionality reduction
- high dimensional
- linear transformation
- principal component analysis
- multi layered
- parameter space
- distance metric
- intelligent robots
- neural network
- linear model
- principal components
- incremental learning
- locally optimal
- euclidean distance
- feature extraction
- face recognition
- distance function
- database
- least squares
- databases
- image reconstruction
- image classification