A new integrated SVM classifiers for relevance feedback content-based image retrieval using EM parameter estimation.
Xiangyang WangJing-Wei ChenHong-Ying YangPublished in: Appl. Soft Comput. (2011)
Keyphrases
- parameter estimation
- svm classifier
- relevance feedback
- expectation maximization
- em algorithm
- support vector machine
- maximum likelihood
- support vector machine svm
- support vector
- least squares
- model selection
- image classification
- markov random field
- model fitting
- feature vectors
- maximum likelihood estimation
- approximate inference
- parameter estimation algorithm
- kernel function
- generative model
- gibbs sampling
- training set
- image retrieval
- random fields
- semi supervised
- reduced set
- likelihood function
- active learning
- image segmentation
- probabilistic model
- parameter estimates
- estimation problems
- maximum a posteriori
- parameter learning
- knn
- higher order
- computer vision