Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition.
Zhengming DingMing ShaoYun FuPublished in: AAAI (2014)
Keyphrases
- nearest neighbor
- low rank
- high dimensional data
- subspace learning
- missing values
- missing data
- manifold learning
- low rank matrix
- semi supervised
- low rank approximation
- dimensionality reduction
- high dimensional
- data points
- sparse representation
- kernel matrix
- robust face recognition
- dimension reduction
- pattern recognition
- object recognition
- linear combination
- unsupervised learning
- data representation
- linear subspace
- matrix factorization
- face recognition
- background modeling
- convex optimization
- active learning
- feature extraction
- sparse coding
- transfer learning
- action recognition
- principal component analysis
- supervised learning
- natural images
- computer vision
- low dimensional
- least squares
- neural network