Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules.
Haisheng FuFeng LiangJianping LinBing LiMohammad AkbariJie LiangGuohe ZhangDong LiuChengjie TuJingning HanPublished in: CoRR (2021)
Keyphrases
- mixture model
- image compression
- gaussian mixture model
- gaussian mixture
- maximum likelihood
- mixture components
- em algorithm
- gaussian model
- density estimation
- mixture of gaussians
- generative model
- wavelet transform
- expectation maximization
- gaussian densities
- probabilistic model
- language model
- model selection
- unsupervised learning
- feature vectors
- logistic regression
- probability density function
- gaussian distribution
- decision trees
- background subtraction
- image processing
- reinforcement learning
- edge detection
- unsupervised manner
- bayesian information criterion
- clustering algorithm