An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples.
Rajiv KumarVaidyanathan K. JayaramanBhaskar D. KulkarniPublished in: Pattern Recognit. (2005)
Keyphrases
- noise reduction
- svm classifier
- support vector machine
- feature selection
- support vector
- selected features
- informative features
- edge preserving
- support vector machine svm
- signal to noise ratio
- feature subset
- edge detection
- image classification
- noise level
- noisy environments
- noise removal
- kernel function
- support vectors
- fold cross validation
- edge enhancement
- feature vectors
- training examples
- svm classification
- median filter
- training set
- noise free
- noise detection
- hearing aids
- semi supervised
- feature extraction
- impulse noise
- machine learning
- feature set
- wiener filter
- classification accuracy
- pattern recognition
- feature selection algorithms
- anisotropic diffusion
- face recognition
- k nearest neighbor