Low-Rank & Sparse Matrix Decomposition and Support Vector Machine for Hyperspectral Anomaly Detection.
Shangzhen SongHuixin ZhouZhe ZhangYixin YangPei XiangJuan DuJiajia ZhangPublished in: ICSM (2019)
Keyphrases
- anomaly detection
- low rank
- hyperspectral
- sparse matrix
- support vector machine
- remote sensing
- linear combination
- convex optimization
- missing data
- matrix factorization
- semi supervised
- image data
- singular value decomposition
- high order
- kernel matrix
- data matrix
- high dimensional data
- rows and columns
- unsupervised learning
- support vector
- random projections
- feature vectors
- training set
- floating point
- machine learning
- training data
- feature selection
- image processing
- collaborative filtering
- knn
- clustering algorithm
- neural network