SVM based multi-label learning with missing labels for image annotation.

•Our loss function guarantees the large margin and minimum number of samples which live in margin area.•Our approach takes into account both example smoothness and label consistence when learning the mapping function in SVM.•We propose a SVM based method for multi-label learning with missing label problems.