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First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. This paper introduces a fast CCA algorithm for dealing with large-scale data. Through exposing that CCA can be solved via iterative LS, a fast LS algorithm is naturally employed to speed up the CCA calculation. Error analysis for the proposed fast CCA algorithm is also provided. The experiments on large-scale datasets evaluate and compare different fast CCA methods, which are comprehensive and convincing. The paper is well written and easy to follow.