Classification by varying features with an erring sensor.
Per Olof GutmanKalman PelegUri Ben-HananPublished in: Autom. (1994)
Keyphrases
- feature vectors
- feature extraction
- classification accuracy
- feature set
- feature space
- classification models
- classification process
- extracted features
- classification method
- high dimensionality
- svm classifier
- feature analysis
- class labels
- extracting features
- benchmark datasets
- gender classification
- pattern classification
- pattern recognition
- decision tree classifiers
- feature representation
- decision trees
- feature subset
- feature values
- machine learning approaches
- feature selection
- svm classification
- features extraction
- feature extraction and classification
- machine learning
- support vector machine
- bayesian classifier
- discriminating features
- preprocessing
- low level
- multiple classifiers
- image features
- discriminative features
- image classification
- sensor data
- classification algorithm
- eeg signals
- co occurrence
- multiple features
- classification rules
- sensor networks
- text classification
- feature construction
- classification rate
- irrelevant features
- training samples
- machine learning algorithms
- feature weights
- face recognition
- gabor filters