Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning.
José Raúl Machado FernándezJesús de la Concepción Bacallao VidalPublished in: Int. J. Interact. Multim. Artif. Intell. (2016)
Keyphrases
- parameter estimation
- deep learning
- neural network
- maximum likelihood
- least squares
- unsupervised learning
- model selection
- em algorithm
- statistical models
- markov random field
- approximate inference
- expectation maximization
- unsupervised feature learning
- machine learning
- parameter estimation algorithm
- shape model
- shape prior
- pattern recognition
- weakly supervised
- maximum likelihood estimates
- co occurrence
- object detection
- semi supervised
- hidden markov models
- pairwise
- mental models
- image processing
- parameter estimates