Applicability of Deep Learned vs Traditional Features for Depth Based Classification.
Fabio BracciMo LiIngo KossykZoltan-Csaba MartonPublished in: CompIMAGE (2018)
Keyphrases
- classification accuracy
- feature vectors
- feature extraction
- classification method
- feature set
- classification models
- classification process
- feature space
- benchmark datasets
- feature values
- high dimensionality
- svm classifier
- extracting features
- pattern recognition
- discriminative features
- extracted features
- gender classification
- image classification
- class specific
- decision trees
- feature weights
- automatic classification
- feature reduction
- pattern classification
- feature selection algorithms
- neural network
- features extraction
- decision tree classifiers
- class labels
- feature extraction and classification
- support vector machine svm
- text classification
- image features
- feature selection
- feature analysis
- low level
- support vector machine
- svm classification
- category labels
- data sets
- machine learning
- support vector
- feature construction
- feature subset
- learned models
- supervised learning
- eeg signals
- classification scheme
- machine learning methods