Comparing Gaussian and polynomial classification in SCHMM-based recognition systems.
Alfred KaltenmeierJürgen FrankePublished in: EUROSPEECH (1997)
Keyphrases
- pattern recognition
- classification systems
- feature extraction
- machine learning
- recognition rate
- object classification
- automatic recognition
- recognition process
- preprocessing stage
- feature vectors
- correct recognition
- supervised learning
- recognition accuracy
- text classification
- unsupervised learning
- automatic classification
- human activities
- feature selection
- classification method
- complex systems
- image classification
- preprocessing
- training samples
- model selection
- decision rules
- maximum likelihood
- gaussian mixture model
- distributed systems
- gaussian distribution
- management system
- support vector machine
- feature space
- object recognition
- support vector
- training data