Fusion of diverse features and kernels using LP-norm based multiple kernel learning in hyperspectral image processing.
Muhammad Aminul IslamDerek T. AndersonJohn E. BallNicolas H. YounanPublished in: WHISPERS (2016)
Keyphrases
- multiple kernel learning
- lp norm
- hyperspectral
- multiple features
- image processing
- remote sensing
- linear combination
- kernel methods
- kernel learning
- feature selection
- kernel function
- learning problems
- learning models
- image analysis
- semi supervised learning
- multi task
- image data
- feature space
- computer vision
- image segmentation
- data fusion
- special case
- feature vectors
- high dimensionality
- feature extraction
- support vectors
- support vector
- binary classification
- text classification
- denoising
- principal component analysis
- loss function
- dimensionality reduction
- feature set
- learning algorithm