Classification of Odorants in the Vapor Phase Using Composite Features for a Portable E-Nose System.
Sang-Il ChoiGu-Min JeongChunghoon KimPublished in: Sensors (2012)
Keyphrases
- classification accuracy
- feature extraction
- feature vectors
- feature set
- classification models
- feature space
- extracted features
- decision trees
- classification process
- classification method
- svm classifier
- extracting features
- feature analysis
- discriminative features
- benchmark datasets
- feature construction
- gender classification
- class labels
- automatic classification
- classification scheme
- feature selection
- supervised learning
- svm classification
- irrelevant features
- pattern recognition
- support vector
- feature extraction and classification
- highly discriminative
- feature representation
- classification rate
- training phase
- machine learning
- feature selection algorithms
- pattern classification
- co occurrence
- image features
- category labels
- neural network
- similarity measure
- feature weights
- textural features
- training data
- object recognition
- low level
- false positives
- classification algorithm
- feature values
- high dimensionality
- eeg signals
- feature subset
- gabor filters