Knowledge-Guided Biclustering via Sparse Variational EM Algorithm.
Changgee ChangEun Jeong MinJihwan OhQi LongPublished in: ICBK (2019)
Keyphrases
- em algorithm
- expectation maximization
- maximum likelihood
- mixture model
- parameter estimation
- gaussian mixture model
- generative model
- expectation maximisation
- gaussian mixture
- likelihood function
- maximum likelihood estimation
- log likelihood
- sum product algorithm
- image segmentation
- variational approximation
- mixture modeling
- penalized likelihood
- likelihood maximization
- probability density function
- incomplete data
- density estimation
- gene expression data
- hidden variables
- statistical model
- sparse representation
- finite mixture model
- unsupervised learning
- dimensionality reduction
- log likelihood function
- least squares
- probabilistic model
- optical flow