Noise-robust semi-supervised learning via fast sparse coding
We propose novel semi-supervised learning based on fast sparse coding. Our algorithm achieves promising results in noise-robust image classification. Our algorithm can readily be extended to many other challenging problems.
sparse coding noise-robust image classification graph-based semi-supervised learning noise reduction laplacian regularization