Fast Multi-Label Low-Rank Linearized SVM Classification Algorithm Based on Approximate Extreme Points.
Zhongwei SunKeyong HuTong HuJing LiuKai ZhuPublished in: IEEE Access (2018)
Keyphrases
- classification algorithm
- low rank
- multi label
- multi label classification
- class labels
- knn
- convex optimization
- text categorization
- k nearest neighbor
- missing data
- support vector machine
- semi supervised
- singular value decomposition
- linear combination
- interior point methods
- matrix factorization
- text classification
- high dimensional data
- high order
- graph cuts
- training set
- binary classification
- labeled data
- kernel matrix
- naive bayes
- learning algorithm
- image classification
- training data
- feature selection
- semi supervised learning
- support vector machine svm
- linear program
- nearest neighbor
- supervised learning
- convex hull
- learning tasks
- image processing
- convex relaxation
- clustering algorithm
- support vector
- data analysis
- pairwise
- active learning
- input space
- principal component analysis
- feature set
- markov random field