Exploring Dimensionality Reduction Techniques in Multilingual Transformers.
Álvaro Huertas-GarcíaAlejandro MartínJavier Huertas-TatoDavid CamachoPublished in: Cogn. Comput. (2023)
Keyphrases
- dimensionality reduction
- high dimensional
- low dimensional
- pattern recognition
- data representation
- structure preserving
- manifold learning
- data points
- principal component analysis
- pattern recognition and machine learning
- dimension reduction
- high dimensional data
- digital libraries
- feature selection
- language independent
- dimensionality reduction methods
- random projections
- feature space
- input space
- feature extraction
- high dimensionality
- linear dimensionality reduction
- cross language
- principal components
- linear discriminant analysis
- nonlinear dimensionality reduction
- image processing
- computer vision
- language specific
- intrinsic dimensionality
- multidimensional scaling
- kernel pca
- kernel learning
- natural language
- cross lingual
- metric learning