A Novel Pruning Approach for Bagging Ensemble Regression Based on Sparse Representation.
Amir Ehsan Khorashadi-ZadehMassoud Babaie-ZadehChristian JuttenPublished in: ICASSP (2020)
Keyphrases
- sparse representation
- ensemble methods
- ensemble learning
- base classifiers
- ensemble members
- ensemble selection
- random forests
- ensemble classification
- random forest
- classifier ensemble
- imbalanced data
- dictionary learning
- pruning algorithm
- majority voting
- ensemble classifier
- sparse coding
- face recognition
- signal processing
- image patches
- decision trees
- benchmark datasets
- image classification
- compressive sensing
- training set
- joint optimization
- multi class
- regularized least squares
- sparse approximations
- random projections
- compressed sensing
- high dimensional data
- weak classifiers
- image representation
- learning algorithm
- sparse reconstruction
- training data
- neural network
- gaussian process
- training samples
- dimensionality reduction
- sparsity constraints
- data sets