Confidence Propagation through CNNs for Guided Sparse Depth Regression.
Abdelrahman EldesokeyMichael FelsbergFahad Shahbaz KhanPublished in: CoRR (2018)
Keyphrases
- sparse regression
- sparse bayesian learning
- regression model
- cellular neural networks
- relevance vector machine
- depth information
- conformal prediction
- model selection
- sparse kernel
- generalized linear models
- depth map
- linear regression
- support vector regression
- sparse data
- canonical correlation analysis
- sparse representation
- polynomial regression
- compressed sensing
- regression algorithm
- confidence level
- high confidence
- partial least squares
- regression problems
- high dimensional
- sparse approximations
- ridge regression
- group lasso
- compressive sensing
- neural network
- sparse coding
- simple linear
- regression method
- feature selection and classification
- regression analysis
- gaussian processes
- cross validation
- feature space
- feature selection
- machine learning