Detection and Classification of Noise Using Bark Domain Features.
Samrudhi MohdiwaleTirath Prasad SahuRahul Kumar ChaurasiaNaresh Kumar NagwaniShrish VermaPublished in: ICCBN (2018)
Keyphrases
- classification accuracy
- feature vectors
- feature extraction
- classification method
- classification models
- feature set
- classification process
- support vector machine classifier
- features extraction
- svm classifier
- extracted features
- feature extraction and classification
- benchmark datasets
- false positives
- pattern recognition
- gender classification
- machine learning
- feature space
- mammogram images
- high dimensionality
- feature analysis
- classification scheme
- adaboost classifier
- extracting features
- image features
- class labels
- support vector machine svm
- discriminatory power
- object detection
- feature representation
- decision trees
- feature values
- discriminative features
- feature weights
- feature selection
- low signal to noise ratio
- multiple classifiers
- machine learning algorithms
- text classification
- image classification
- support vector
- keypoints
- missing data
- textural features
- detection method
- discriminative classifiers
- feature reduction
- multi class
- support vector machine