Sparsity-aware support vector data description reinforced by expectation maximization.
Mahdie EghdamiHadi Sadoghi YazdiNeshat SalehiPublished in: Expert Syst. J. Knowl. Eng. (2022)
Keyphrases
- support vector data description
- expectation maximization
- density estimation
- em algorithm
- novelty detection
- detection method
- mixture model
- kernel function
- maximum likelihood
- generative model
- probabilistic model
- multiple classifiers
- sparse representation
- high dimensional
- unsupervised learning
- target class
- gaussian mixture model
- detecting outliers
- probability density function
- density function
- outlier detection
- statistical learning theory
- image segmentation
- k means
- bayesian framework
- support vectors
- semi supervised
- machine learning
- multi class
- dimensionality reduction
- supervised learning