Fast dependency-aware feature selection in very-high-dimensional pattern recognition.
Petr SomolJirí GrimPavel PudilPublished in: SMC (2011)
Keyphrases
- pattern recognition
- high dimensional
- feature selection
- dimensionality reduction
- high dimensionality
- feature space
- feature extraction
- machine learning
- microarray data
- small sample
- dimension reduction
- low dimensional
- high dimension
- gene expression data
- high dimensional data
- computer vision
- small sample size
- similarity search
- feature selection algorithms
- sparse data
- metric space
- image processing
- information gain
- multi dimensional
- signal processing
- text categorization
- pattern recognition problems
- data points
- feature set
- variable selection
- image analysis
- irrelevant features
- nearest neighbor
- model selection
- multi class
- learning algorithm
- high dimensional datasets
- feature ranking
- high dimensional spaces
- neural network
- classification models
- input space
- feature subset
- pattern classification
- noisy data
- data analysis
- knn
- gene expression
- support vector machine
- naive bayes
- support vector machine svm