Towards a sparse low-rank regression model for memorability prediction of images.
Jinghui ChuHuimin GuYuting SuPeiguang JingPublished in: Neurocomputing (2018)
Keyphrases
- regression model
- low rank
- low rank matrix
- group lasso
- prediction model
- rank minimization
- generalized linear models
- image data
- input image
- linear regression model
- low rank matrices
- matrix factorization
- robust principal component analysis
- convex optimization
- regression analysis
- high order
- high dimensional
- matrix completion
- gaussian process
- missing data
- singular value decomposition
- high dimensional data
- small number
- neural network
- multivariate regression
- data sets
- singular values
- image classification
- higher order
- image segmentation
- low rank representation