A reduced classifier ensemble approach to human gesture classification for robotic Chinese handwriting.
Fei ChaoYan SunZhengshuai WangGang YaoZuyuan ZhuChangle ZhouQinggang MengMin JiangPublished in: FUZZ-IEEE (2014)
Keyphrases
- classification method
- classification scheme
- classification rate
- classification process
- support vector machine
- classification algorithm
- class labels
- feature selection
- training samples
- decision trees
- classification accuracy
- feature space
- support vector
- nearest neighbor rule
- svm classifier
- final classification
- bayesian classifier
- training set
- binary classifiers
- accurate classification
- nearest neighbor classifier
- learning vector quantization
- classifier combination
- probabilistic classifiers
- pattern classification
- gesture recognition
- hierarchical classification
- multiple classifiers
- pattern recognition
- training data
- classification decisions
- classification schemes
- supervised classification
- decision boundary
- training process
- multiclass classification
- k nearest neighbour
- higher classification accuracy
- rule based classifier
- unseen data
- high classification accuracy
- individual classifiers
- ensemble classifier
- feature extraction
- classification models
- fuzzy support vector machine
- support vector machine svm
- feature set
- feature vectors
- multi class classifier
- discrete hidden markov models
- feature extraction and classification
- multiple classifier systems
- machine learning
- mobile robot
- hidden markov models
- associative classifiers
- decision tree classifiers
- multi category
- cost sensitive
- knn