Improved Compression for Word Embeddings by Scaling Principal Components.
Joseph McDonaldSiddharth SamsiDaniel EdelmanChansup ByunJeremy KepnerVijay GadepallyPublished in: HPEC (2021)
Keyphrases
- principal components
- dimensionality reduction
- principal component analysis
- multivariate data
- principal components analysis
- data compression
- covariance matrix
- co occurrence
- compression algorithm
- n gram
- computer vision
- principal component regression
- spectral data
- image compression
- low dimensional
- feature set
- improved algorithm
- least squares
- text compression
- machine learning
- vector space
- high dimensional data
- linear discriminant analysis
- compression scheme
- feature space
- image processing
- kernel space