Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity.
Guoshen YuGuillermo SapiroStéphane MallatPublished in: IEEE Trans. Image Process. (2012)
Keyphrases
- piecewise linear
- gaussian mixture model
- inverse problems
- regularization methods
- image reconstruction
- mixture model
- global optimization
- convex optimization
- expectation maximization
- optimization methods
- em algorithm
- feature vectors
- maximum likelihood
- optimization problems
- regularization method
- dynamic programming
- hyperplane
- feature space
- partial differential equations
- object recognition
- pattern recognition
- support vector machine
- probabilistic model
- unsupervised learning
- early vision
- training data
- natural images
- objective function