Keyphrases
- high dimensional
- training samples
- high dimensionality
- feature space
- small sample
- high dimension
- training set
- classification accuracy
- dimensionality reduction
- dictionary learning
- sparse data
- feature extraction
- small sample size
- pattern classification
- sparse coding
- sparse representation
- automatic classification
- high dimensional data
- avoid overfitting
- image classification
- model selection
- text classification
- optimum path forest
- decision rules
- feature vectors
- feature selection
- classification scheme
- similarity search
- small samples
- classification method
- classification algorithm
- dimension reduction
- decision trees
- machine learning
- machine learning algorithms
- unsupervised learning
- pattern recognition
- preprocessing
- supervised learning
- support vector machine
- additive models
- training data
- compressive sensing
- low dimensional
- decision boundary
- cost sensitive
- input space