Sparse feature selection based on graph Laplacian for web image annotation ?
Spare feature selection method based on l2,1/2-matix norm is proposed. Graph Laplacian based semi-supervised learning is exploited. A effective algorithm for optimizing the objective function is introduced. The convergence of the algorithm is proven. Experiments demonstrate that the method is suitable for web image annotation.
sparse feature selection graph laplacian web image annotation semi-supervised learning l2 1/2-matrix norm