Noise-robust HMMs based on minimum error classification.
Kazumi OhkuraDavid RaintonMasahide SugiyamaPublished in: ICASSP (2) (1993)
Keyphrases
- minimum error
- hidden markov models
- classification accuracy
- feature vectors
- text classification
- decision trees
- feature extraction
- pattern recognition
- image classification
- estimation error
- noise level
- feature selection
- machine learning methods
- support vector machine svm
- model selection
- training set
- feature space
- support vector
- support vector machine
- svm classifier
- noise reduction
- machine learning