Adaptative Inference Cost With Convolutional Neural Mixture Models.
Adria RuizJakob VerbeekPublished in: ICCV (2019)
Keyphrases
- mixture model
- network architecture
- gaussian mixture model
- probabilistic model
- variational inference
- dirichlet process
- em algorithm
- generative model
- density estimation
- maximum likelihood
- neural network
- expectation maximization
- mixture modeling
- model selection
- unsupervised learning
- probability density function
- bayesian information criterion
- bayesian networks
- sparse coding
- finite mixture models
- bayesian inference
- cost sensitive
- gaussian mixture
- dirichlet distribution
- object recognition
- computer vision