Data Compression and Decompression of Handwritten Digital-Ink Using Sparse Gaussian Process.
Jinya YanoHiroyuki FujiokaPublished in: BigDataService (2023)
Keyphrases
- data compression
- gaussian process
- covariance function
- sparse approximations
- gaussian processes
- sparse approximation
- gaussian process regression
- compression scheme
- regression model
- compression algorithm
- compression ratio
- bayesian framework
- model selection
- compressed data
- hyperparameters
- latent variables
- semi supervised
- sparse representation
- huffman coding
- gaussian process models
- image compression
- high dimensional
- training data
- computational complexity
- active learning
- random sampling
- image quality
- data sets
- prior information