Detection and classification of stochastic features using a multi-Bayesian approach.
J. Josiah SteckenriderTomonari FurukawaPublished in: MFI (2017)
Keyphrases
- classification accuracy
- feature vectors
- feature extraction
- classification method
- feature set
- classification models
- features extraction
- feature extraction and classification
- classification process
- feature space
- support vector machine classifier
- feature analysis
- extracted features
- false positives
- discriminative features
- mammogram images
- feature selection
- gender classification
- low level
- image features
- eeg signals
- automatic classification
- pattern classification
- feature construction
- support vector
- extracting features
- pattern recognition
- benchmark datasets
- feature weights
- detection method
- image classification
- co occurrence
- object detection
- neyman pearson
- decision trees
- feature selection algorithms
- detection rate
- high dimensionality
- classification algorithm
- class labels
- machine learning algorithms
- training samples
- support vector machine
- feature values
- automatic detection
- irrelevant features
- multiple classifiers
- detection algorithm
- text classification
- selecting a small number