Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing.
Zhihan LiYoujian ZhaoHaowen XuWenxiao ChenShangqing XuYilin LiDan PeiPublished in: IJCNN (2020)
Keyphrases
- unsupervised clustering
- gaussian mixture
- variational inference
- variational methods
- mixture model
- image segmentation
- closed form
- expectation maximization
- em algorithm
- gaussian mixture model
- bayesian inference
- k means
- posterior distribution
- probabilistic model
- hyperparameters
- optic flow
- gaussian process
- clustering method
- topic models
- density estimation
- probability density function
- approximate inference
- exponential family
- generative model
- level set
- parameter estimation
- clustering algorithm
- latent dirichlet allocation
- unsupervised learning
- spectral clustering
- multiscale
- image processing
- graph cuts
- maximum likelihood
- markov random field
- optical flow