Nonconvex Low-Rank Kernel Sparse Subspace Learning for Keyframe Extraction and Motion Segmentation.
Guiyu XiaBeijia ChenHuaijiang SunQingshan LiuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- motion segmentation
- low rank
- subspace learning
- low rank matrices
- missing data
- kernel matrix
- low rank approximation
- robust principal component analysis
- high dimensional data
- low rank matrix
- semi supervised
- dimensionality reduction
- sparse coding
- sparse representation
- convex optimization
- matrix factorization
- motion model
- linear combination
- data representation
- low dimensional
- moving objects
- motion estimation
- manifold learning
- multibody
- singular value decomposition
- spectral clustering
- high dimensional
- model selection
- principal component analysis
- image sequences
- structure from motion
- face recognition
- learning algorithm
- linear subspace
- kernel function
- feature space
- nearest neighbor
- kernel methods
- dimension reduction
- optical flow
- image classification
- pattern recognition
- image representation
- image processing
- knn
- feature selection
- data mining
- machine learning