Self-Supervised Learning for Object Recognition based on Kernel Discriminant-EM Algorithm.
Ying WuThomas S. HuangKentaro ToyamaPublished in: ICCV (2001)
Keyphrases
- em algorithm
- expectation maximization
- maximum likelihood
- object recognition
- mixture model
- hidden variables
- maximum likelihood estimation
- parameter estimation
- likelihood maximization
- log likelihood
- parameter learning
- active learning
- incomplete data
- unsupervised learning
- generative model
- machine learning
- computer vision
- learning algorithm
- multi modal
- gaussian mixture model
- reinforcement learning
- likelihood function
- markov random field
- maximum a posteriori
- probabilistic model
- feature extraction
- image processing
- model based clustering
- expectation maximisation