Unsupervised machine learning via Hidden Markov Models for accurate clustering of plant stress levels based on imaged chlorophyll fluorescence profiles & their rate of change in time.
Julie BlumenthalDalila B. MegherbiRobert LussierPublished in: CIVEMSA (2014)
Keyphrases
- hidden markov models
- machine learning
- unsupervised learning
- sequential data
- supervised learning
- speech recognition
- sequence classification
- conditional random fields
- markov models
- k means
- viterbi algorithm
- gesture recognition
- clustering algorithm
- pattern recognition
- natural language processing
- hidden state
- automatic speech recognition
- hidden states
- keyword spotting
- data mining
- feature selection
- continuous hidden markov models
- speech signal
- information theoretic
- support vector machine
- markov model
- speech processing
- markov chain
- maximum likelihood
- linear dynamical systems
- baum welch
- visual speech recognition
- reinforcement learning