Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
Guoshen YuGuillermo SapiroStéphane MallatPublished in: CoRR (2010)
Keyphrases
- piecewise linear
- gaussian mixture model
- inverse problems
- regularization methods
- global optimization
- image reconstruction
- mixture model
- feature vectors
- em algorithm
- optimization problems
- maximum likelihood
- dynamic programming
- optimization methods
- convex optimization
- expectation maximization
- regularization method
- early vision
- partial differential equations
- hyperplane
- feature space
- smoothness constraint
- machine learning
- dimensionality reduction
- covariance matrix
- unsupervised learning
- generative model
- evolutionary algorithm