Multi-sensor classification via sparsity-based representation with low-rank interference.
Minh DaoNasser M. NasrabadiTrac D. TranPublished in: ICASSP (2015)
Keyphrases
- low rank
- multi sensor
- sparsity constraints
- data fusion
- linear combination
- missing data
- matrix factorization
- convex optimization
- rank minimization
- low rank matrix
- matrix completion
- singular value decomposition
- multi sensor fusion
- pattern recognition
- high dimensional data
- infrared
- feature extraction
- support vector
- decision trees
- singular values
- high dimensional
- feature selection
- image classification
- training set
- feature vectors
- high order
- support vector machine
- machine learning
- recommender systems
- image fusion
- data analysis
- semi supervised
- sparse representation
- principal component analysis
- image processing