用矩阵补全或张量补全的方法，对缺失数据进行重构(matrix completion or tensor completion ,to reconstruct the missing data)

对tenor张量进行补全并最小化范数，得到tensor的分解形式(ADMM Complementing the tenor tensors and minimizing the norm, we get the decomposition form of tensor.)

整合了不完整张量的平滑平行因子分解和最小化张量秩模型的有效选择的张量补全，用于图像处理，(The proposed method admits significant advantages, owing to the integration of smooth PARAFAC decomposition for incomplete tensors and the efficient selection of models in order to minimize the tensor rank

张量补全很好的学习代码，从Trans大神主页找到的~(Tensor Completion for Estimating Missing Values in Visual Data)