Noise-robust semi-supervised learning via fast sparse coding

作者：

Highlights：

• 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.

摘要

Highlights•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.

论文关键词：Graph-based semi-supervised learning,Noise reduction,Laplacian regularization,Sparse coding,Noise-robust image classification

论文评审过程：Received 6 October 2013, Revised 6 June 2014, Accepted 20 August 2014, Available online 28 August 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.08.019