Dynamic Grasp Recognition Using Time Clustering, Gaussian Mixture Models and Hidden Markov Models.
Zhaojie JuHonghai LiuXiangyang ZhuYoulun XiongPublished in: ICIRA (1) (2008)
Keyphrases
- hidden markov models
- gaussian mixture model
- mixture model
- density estimation
- sequential data
- markov models
- speech recognition
- speaker recognition
- unsupervised learning
- clustering algorithm
- conditional random fields
- hidden states
- sequence classification
- maximum likelihood
- expectation maximization
- speaker identification
- linear dynamical systems
- baum welch
- hidden state
- probability density function
- k means
- feature space
- em algorithm
- data points
- feature vectors
- speech signal
- object recognition
- image processing
- machine learning