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Low-Complexity Multidimensional DCT Approximations for High-Order Tensor Data Decorrelation

Research article (IEEE Transactions on Image Processing, 2017) · cited 20× · AI/ML
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Low-Complexity Multidimensional DCT Approximations for High-Order Tensor Data Decorrelation

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Low-Complexity Multidimensional DCT Approximations for High-Order Tensor Data Decorrelation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Low-Complexity Multidimensional DCT Approximations for High-Order Tensor Data Decorrelation. Retrieved May 24, 2026, from https://4ort.xyz/entity/low-complexity-multidimensional-dct-approximations-for-high-order-tensor-data-decorrelation
MLA “Low-Complexity Multidimensional DCT Approximations for High-Order Tensor Data Decorrelation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/low-complexity-multidimensional-dct-approximations-for-high-order-tensor-data-decorrelation.
BibTeX @misc{4ortxyz_low-complexity-multidimensional-dct-approximations-for-high-order-tensor-data-decorrelation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Low-Complexity Multidimensional DCT Approximations for High-Order Tensor Data Decorrelation}}, year = {2026}, url = {https://4ort.xyz/entity/low-complexity-multidimensional-dct-approximations-for-high-order-tensor-data-decorrelation}, note = {Accessed: 2026-05-24}}
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