Solving SVM inverse problems based on clustering.
Xizhao WangShu-Xia LuRuixian ZhuPublished in: SMC (2007)
Keyphrases
- inverse problems
- image reconstruction
- global optimization
- support vector
- convex optimization
- optimization problems
- clustering method
- support vector machine
- emission tomography
- k means
- clustering algorithm
- partial differential equations
- optimization methods
- computationally expensive
- spectral clustering
- early vision
- optical flow
- feature vectors
- feature space
- video sequences
- multiscale
- data clustering
- machine learning
- neural network