Subspace-based Set Operations on a Pre-trained Word Embedding Space.
Yoichi IshibashiSho YokoiKatsuhito SudohSatoshi NakamuraPublished in: CoRR (2022)
Keyphrases
- pre trained
- embedding space
- low dimensional
- dimensionality reduction
- high dimensional
- euclidean space
- manifold learning
- graph embedding
- training data
- high dimensional data
- input space
- principal component analysis
- geometric structure
- training examples
- feature space
- linear subspace
- data points
- subspace learning
- control signals
- dimension reduction
- euclidean distance
- vector space
- data representation
- geodesic distance
- appearance variations
- pattern recognition
- data sets
- image classification
- active learning
- decision trees
- machine learning
- neural network