• search
    search
  • reviewers
    reviewers
  • feeds
    feeds
  • assignments
    assignments
  • settings
  • logout

Optimal Compressing and Decompressing Digital-Ink Handwriting via Sparse Gaussian Process Regression and Dynamic Programming.

Jinya YanoHiroyuki Fujioka
Published in: BWCCA (2023)
Keyphrases
  • gaussian process regression
  • dynamic programming
  • covariance function
  • gaussian processes
  • gaussian process
  • compressed data
  • state space
  • data compression
  • support vector
  • pairwise
  • probabilistic model
  • semi supervised