The L1-norm best-fit hyperplane problem.
J. Paul BrooksJosé H. DuláPublished in: Appl. Math. Lett. (2013)
Keyphrases
- hyperplane
- training samples
- support vector machine
- input space
- feature space
- support vector
- data points
- linear classifiers
- linearly separable
- classification procedure
- incremental learning algorithm
- principal components
- convex hull
- kernel function
- average distance
- svm classifier
- locality sensitive
- maximal margin
- weight vector
- objective function
- machine learning
- linearly independent
- kernel space
- linear separability
- normal vectors
- computer vision
- image classification
- supervised learning
- pattern recognition
- feature selection