A regularized estimation framework for online sparse LSSVR models.
José Daniel A. SantosGuilherme A. BarretoPublished in: Neurocomputing (2017)
Keyphrases
- probabilistic model
- modeling framework
- parameter estimation
- parametric models
- dense motion estimation
- hidden markov models
- least squares
- main contribution
- bayesian framework
- real time
- risk minimization
- estimation problems
- hybrid model
- generalized linear models
- total least squares
- regularized least squares
- regularization framework
- mathematical framework
- sparse coding
- model selection
- feature selection