Evaluation of Features for Leaf Classification in Challenging Conditions.
David HallChris McCoolFeras DayoubNiko SünderhaufBen UpcroftPublished in: WACV (2015)
Keyphrases
- classification accuracy
- feature set
- feature vectors
- feature extraction
- feature space
- classification method
- classification models
- classification process
- feature construction
- feature analysis
- classification scheme
- feature selection
- extracted features
- pattern recognition
- gender classification
- svm classification
- svm classifier
- feature representation
- decision trees
- real world
- image features
- benchmark datasets
- low level
- support vector
- high dimensionality
- feature selection algorithms
- irrelevant features
- bayesian classifier
- discriminative features
- eeg signals
- multiple features
- feature extraction and classification
- support vector machine svm
- sufficient conditions
- co occurrence
- training data
- machine learning
- fisher linear discriminant
- feature weights
- multiple classifiers
- decision tree classifiers
- machine learning methods
- discriminating features
- writer identification
- machine learning approaches
- classification rate
- data sets
- class labels
- image classification
- preprocessing
- neural network