Improving Group Lasso for High-Dimensional Categorical Data.
Szymon NowakowskiPiotr PokarowskiWojciech RejchelAgnieszka SoltysPublished in: ICCS (2) (2023)
Keyphrases
- categorical data
- group lasso
- variable selection
- high dimensional
- cluster analysis
- regression model
- dimension reduction
- cross validation
- linear models
- dimensionality reduction
- high dimensional data
- contingency tables
- feature space
- attribute values
- low rank
- efficient optimization
- high dimensionality
- low dimensional
- data points
- regularization term
- multi label learning
- machine learning
- nearest neighbor
- multi task
- image segmentation
- data analysis
- object recognition
- multi task learning
- image processing
- missing data
- computer vision