Multiple Kernel Learning via Low-Rank Nonnegative Matrix Factorization for Classification of Hyperspectral Imagery.
Yanfeng GuQingwang WangHong WangDi YouYe ZhangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2015)
Keyphrases
- low rank
- multiple kernel learning
- matrix factorization
- nonnegative matrix factorization
- linear combination
- kernel learning
- kernel matrix
- missing data
- pattern recognition
- matrix completion
- feature selection
- singular value decomposition
- negative matrix factorization
- feature extraction
- recommender systems
- support vector machine
- kernel function
- convex optimization
- learning problems
- kernel methods
- collaborative filtering
- text classification
- least squares
- classification accuracy
- support vector
- machine learning
- unsupervised learning
- high dimensional data
- supervised learning
- semi supervised
- image processing
- semi supervised learning
- support vectors
- multi task
- data representation
- class labels
- principal component analysis
- small number
- image data
- computer vision
- learning algorithm