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Updated: Sep 15, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

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数据恢复的张量网络分解:最近的进展和未来的前景

Yu-Bang Zheng1, Xi-Le Zhao2, Heng-Chao Li1

  • 1School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 611756, China.

Neural networks : the official journal of the International Neural Network Society
|July 15, 2025
PubMed
概括

张量网络 (TN) 分解是高维数据分析和恢复的关键. 这篇综述详细介绍了TN分解方法,应用以及对复杂数据挑战的未来研究方向.

关键词:
高维数据分析的高维数据分析.图像处理 图像处理低级别的建模工作.张量分解的张量分解张量器网络是一个张量器网络.

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相关概念视频

Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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