Sparseness and a reduction from Totally Nonnegative Least Squares to SVM.
Vamsi K. PotluruSergey M. PlisShuang LuanVince D. CalhounThomas P. HayesPublished in: IJCNN (2011)
Keyphrases
- least squares
- ls svm
- support vector machine svm
- support vector
- matrix approximation
- nonnegative matrix factorization
- stochastic gradient descent
- support vector machine
- knn
- svm classifier
- feature selection
- robust estimation
- singular value decomposition
- classification algorithm
- parameter estimation
- multi class classification
- feature vectors
- support vectors
- hyperplane
- svm classification
- kernel function
- feature space
- training data
- machine learning
- objective function
- matrix factorisation
- decision function
- multi class svm
- generalization ability
- kernel methods
- linear programming
- collaborative filtering
- multi class
- optical flow
- training set
- pattern recognition
- feature extraction
- computer vision