Dynamic Grasp Recognition Using Time Clustering, Gaussian Mixture Models and Hidden Markov Models.
Zhaojie JuHonghai LiuXiangyang ZhuYoulun XiongPublished in: Adv. Robotics (2009)
Keyphrases
- hidden markov models
- gaussian mixture model
- mixture model
- linear dynamical systems
- speaker recognition
- density estimation
- speech recognition
- markov models
- feature vectors
- maximum likelihood
- expectation maximization
- em algorithm
- probability density function
- clustering algorithm
- hidden state
- conditional random fields
- k means
- sequence classification
- self organizing maps
- speaker identification
- feature space
- hidden states
- computer vision