Sequential Gaussian Mixture Models for Two-Level Conditional Random Fields.
Sergey KosovFranz RottensteinerChristian HeipkePublished in: GCPR (2013)
Keyphrases
- conditional random fields
- gaussian mixture model
- mixture model
- probabilistic model
- generative model
- expectation maximization
- graphical models
- speaker recognition
- random fields
- hidden markov models
- em algorithm
- markov random field
- feature vectors
- sequence labeling
- information extraction
- pairwise
- maximum likelihood
- named entity recognition
- efficient inference algorithms
- higher order
- crf model
- structured prediction
- web page prediction
- probability density function
- language model
- unsupervised learning
- information retrieval
- approximate inference
- natural language processing
- feature space
- feature extraction
- computer vision