Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  investigate the sample size requirement for a general class of nuclear norm minimization methods for higher order tensor completion.  introduce a class of tensor norms by allowing for different levels of coherence, which allows us to leverage the incoherence of a tensor. In particular,  show that a $k$th order tensor of rank $r$ and dimension $d\times\cdots\times d$ can be recovered perfectly from as few as $O((r^{(k-1)/2}d^{3/2}+r^{k-1}d)(\log(d))^2)$ uniformly sampled entries through an appropriate incoherent nuclear norm minimization. Our results demonstrate some key differences beten completing a matrix and a higher order tensor: They not only point to potential room for improvement over the usual nuclear norm minimization but also highlight the importance of explicitly accounting for incoherence, when dealing with higher order tensors.
['Ming Yuan', 'Cun-Hui Zhang']
I am writing a research paper on a idea Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion
[{"from": "human", "value": "I am writing a research paper on a idea Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  investigate the sample size requirement for a general class of nuclear norm minimization methods for higher order tensor completion.  introduce a class of tensor norms by allowing for different levels of coherence, which allows us to leverage the incoherence of a tensor. In particular,  show that a $k$th order tensor of rank $r$ and dimension $d\\times\\cdots\\times d$ can be recovered perfectly from as few as $O((r^{(k-1)/2}d^{3/2}+r^{k-1}d)(\\log(d))^2)$ uniformly sampled entries through an appropriate incoherent nuclear norm minimization. Our results demonstrate some key differences beten completing a matrix and a higher order tensor: They not only point to potential room for improvement over the usual nuclear norm minimization but also highlight the importance of explicitly accounting for incoherence, when dealing with higher order tensors."}]