An Efficient Multi-Label SVM Classification Algorithm by Combining Approximate Extreme Points Method and Divide-and-Conquer Strategy.
Zhongwei SunXiuyan LiuKeyong HuZhuang LiJing LiuPublished in: IEEE Access (2020)
Keyphrases
- classification algorithm
- multi label classification
- multi label
- knn
- support vector machine
- support vector machine svm
- k nearest neighbor
- support vector
- class labels
- training samples
- extreme points
- training set
- image classification
- nearest neighbor
- learning algorithm
- graph cuts
- svm classifier
- image annotation
- binary classification
- linear constraints
- objective function
- decision trees