Toward the synthesis of fixed-point code for matrix inversion based on Cholesky decomposition.
Matthieu MartelAmine NajahiGuillaume RevyPublished in: DASIP (2014)
Keyphrases
- fixed point
- matrix inversion
- kernel matrix
- monte carlo
- least squares
- dynamical systems
- sufficient conditions
- kernel methods
- low rank
- computational cost
- policy evaluation
- policy iteration
- kernel function
- floating point
- belief propagation
- metric learning
- feature space
- input space
- convex optimization
- machine learning
- stereo matching
- training samples
- model selection
- markov chain
- light transport
- higher order