Maximum a posteriori adaptation of network parameters in deep models.
Zhen HuangSabato Marco SiniscalchiI-Fan ChenJinyu LiJiadong WuChin-Hui LeePublished in: INTERSPEECH (2015)
Keyphrases
- maximum a posteriori
- network parameters
- markov random field
- bayesian framework
- maximum likelihood
- expectation maximization
- map estimation
- probabilistic model
- image reconstruction
- neural network
- prior model
- prior knowledge
- generalized gaussian
- prior distribution
- artificial neural networks
- conditional probabilities
- posterior distribution
- neural network model
- energy function
- feature extraction
- computer vision