Feb 20, 2019 · In this paper, we propose a new algorithm for point cloud denoising based on the tensor Tucker decomposition.

ABSTRACT. In this paper, we propose a new algorithm for point cloud de- noising based on the tensor Tucker decomposition. We first.

A new algorithm for point cloud de-noising based on the tensor Tucker decomposition, which outperforms the state-of-the-art graph Laplacian regularized ...

Jianze Li et al., proposed the algorithm for point cloud denoising based on Tucker decomposition to compress this patch tensor to be a core tensor of smaller ...

The proposed method provides fine-grained forensics features by using the hierarchical structure that combines pixels correlation and bit-planes correlation.

In this paper, we propose a new algorithm for point cloud denoising based on the tensor Tucker decomposition. Denoising · Paper · Add Code. Cannot find the ...

In this paper, we introduce a new method for computing the convolutions in the quantized tensor train (QTT) format and removing noise from data using the QTT ...

In this paper, we introduce a new method for computing the convolutions in the quantized tensor train (QTT) format and removing noise from data using the QTT ...

This paper proposes a novel tensor based domain adaptation method. Firstly, this method uses the time domain signals, the frequency domain signals, and the ...

Nov 8, 2023 · To achieve the three terms decomposition, a smooth sparse Robust Tensor Decomposition (SS-RTD) model is proposed to decompose the data into ...