Image Segmentation Based on Non-convex Low Rank Multiple Kernel Clustering.
Xuqian XueXiao WangXiaoqian ZhangJing WangZhigui LiuPublished in: CICAI (2021)
Keyphrases
- low rank
- multiple kernel
- convex optimization
- linear combination
- image segmentation
- high dimensional data
- missing data
- low rank matrix
- spectral clustering
- kernel matrix
- clustering algorithm
- multiple kernel learning
- clustering method
- matrix factorization
- k means
- kernel methods
- semi supervised
- singular value decomposition
- data clustering
- kernel matrices
- high order
- support vector machine
- graph cuts
- kernel learning
- data sets
- markov random field
- total variation
- small number
- data points
- denoising
- high dimensional
- semidefinite programming
- image processing
- learning algorithm