Ensembling Sparse Representation Classifiers through Layers of Support Vector Machines.
Sudarshan BabuVikaasa RamdasPublished in: ICMLA (2016)
Keyphrases
- sparse representation
- support vector
- large margin classifiers
- learning machines
- dictionary learning
- svm classifier
- sparse coding
- image classification
- face recognition
- classifier ensemble
- feature selection
- image representation
- random projections
- loss function
- logistic regression
- compressive sensing
- kernel function
- compressed sensing
- support vector machine
- cross validation
- dimensionality reduction
- signal processing
- training examples
- image patches
- joint optimization
- multi class
- classification accuracy
- individual classifiers
- kernel methods
- support vectors
- sparsity constraints
- norm minimization
- regularized least squares
- image processing
- pattern recognition
- test images
- feature set
- high dimensional data
- object recognition
- hyperplane
- supervised learning