A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate Control.
Alexej GossmannShaolong CaoDamian BrzyskiLan-Juan ZhaoHong-Wen DengYu-Ping WangPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2018)
Keyphrases
- rate control
- regression method
- group wise
- feature selection
- rate distortion
- knn
- video coding
- visual quality
- support vector machine
- video streaming
- regression model
- cortical thickness
- partial least squares
- bit rate
- linear regression
- atlas construction
- regression analysis
- inter frame
- kernel function
- video quality
- support vector regression
- classification accuracy
- mutual information
- support vector
- high dimensional
- feature space
- step size
- feature set
- diffusion tensor
- least squares
- k nearest neighbor
- model selection
- dimension reduction
- three dimensional
- pattern recognition
- feature extraction
- dimensionality reduction
- high dimensionality
- motion vectors
- support vector machine svm
- eeg signals
- multiscale
- image processing