Low-Rank Tensor Subspace Learning for RGB-D Action Recognition.
Chengcheng JiaYun FuPublished in: IEEE Trans. Image Process. (2016)
Keyphrases
- low rank
- action recognition
- subspace learning
- dimensionality reduction
- high dimensional data
- high order
- singular value decomposition
- semi supervised
- bag of words
- low dimensional
- linear combination
- human actions
- matrix factorization
- manifold learning
- higher order
- missing data
- sparse coding
- convex optimization
- principal component analysis
- data representation
- sparse representation
- computer vision
- high dimensional
- background modeling
- unsupervised learning
- pattern recognition
- learning algorithm
- data points
- feature selection
- diffusion tensor
- face recognition
- data sets
- supervised learning
- nearest neighbor
- pairwise
- feature space
- feature extraction
- depth images
- data analysis
- multiscale