Abstract: Noise data can arbitrarily skew the solution from the desired solution in traditional subspace learning methods that based on least squares estimation, in addition, batch-based mode of subspace learning is time consuming for large scale and high dimension

Key words: Subspace learning, Incremental learning, Robust statistic, M-estimation, Outlier