Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification.
Yuqing HuStéphane PateuxVincent GriponPublished in: CoRR (2022)
Keyphrases
- dimension reduction
- feature extraction
- principal component analysis
- variational inference
- high dimensional data
- high dimensionality
- high dimensional
- feature selection
- feature space
- text classification
- singular value decomposition
- low dimensional
- support vector
- unsupervised learning
- cluster analysis
- probabilistic graphical models
- preprocessing
- mixture model
- topic models
- linear discriminant analysis
- bayesian inference
- object recognition
- computer vision
- bayesian networks
- dimensionality reduction
- semi supervised
- support vector machine