MR-NTD: Manifold regularization nonnegative tucker decomposition for tensor data dimension reduction and representation

X Li, MK Ng, G Cong, Y Ye, Q Wu - IEEE transactions on neural …, 2016 - ieeexplore.ieee.org
With the advancement of data acquisition techniques, tensor (multidimensional data) objects
are increasingly accumulated and generated, for example, multichannel …
被引用次数：108 相关文章

MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation.

X Li, MK Ng, G Cong, Y Ye, Q Wu - IEEE Transactions on Neural …, 2017 - europepmc.org
With the advancement of data acquisition techniques, tensor (multidimensional data) objects
are increasingly accumulated and generated, for example, multichannel …

[引用][C] MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation

X Li, MK Ng, G Cong, Y Ye, Q Wu - IEEE Transactions on Neural …, 2017 - cir.nii.ac.jp
MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data
Dimension Reduction and Representation | CiNii Research CiNii 国立情報学研究所 学術 …

MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation

X Li, MK Ng, G Cong, Y Ye… - IEEE transactions on …, 2017 - pubmed.ncbi.nlm.nih.gov
With the advancement of data acquisition techniques, tensor (multidimensional data) objects
are increasingly accumulated and generated, for example, multichannel …

MR-NTD: Manifold regularization nonnegative tucker decomposition for tensor data dimension reduction and representation

X Li, MK Ng, G Cong, Y Ye, Q Wu - IEEE Transactions on Neural …, 2017 - hub.hku.hk
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