Exploiting Generative Diffusion Prior with Latent Low-rank Regularization for Image Inpainting
Generative diffusion models have recently shown impressive results in image restoration.
However, the predicted noise from existing diffusion-based methods may be inaccurate …
However, the predicted noise from existing diffusion-based methods may be inaccurate …
First-Order Sparse TSK Nonstationary Fuzzy Neural Network Based on the Mean Shift Algorithm and the Group Lasso Regularization
Nonstationary fuzzy inference systems (NFIS) are able to tackle uncertainties and avoid the
difficulty of type-reduction operation. Combining NFIS and neural network, a first-order …
difficulty of type-reduction operation. Combining NFIS and neural network, a first-order …
Robust Distributed MIMO Localization based on Binary Hard Weighting
In practical scenarios, the non-line-of-sight errors or impulsive noise in dense urban areas
pose great challenges to efficient and robust distributed multiple-input multiple-output radar …
pose great challenges to efficient and robust distributed multiple-input multiple-output radar …
A fast matrix completion method based on truncated norm minimization.
Z Liu, Y Bao, C Wang, X Chen… - Electronic Research …, 2024 - search.ebscohost.com
In recent years, a truncated nuclear norm regularization (TNNR) method has obtained much
attention from researchers in machine learning and image processing areas, because it is …
attention from researchers in machine learning and image processing areas, because it is …
Utilising Dimensionality Reduction for Improved Data Analysis with Quantum Feature Learning
SR Sihare - 2024 - researchsquare.com
This research explores the potential of quantum computing in data analysis, focusing on the
efficient analysis of high-dimensional quantum datasets using dimensionality reduction …
efficient analysis of high-dimensional quantum datasets using dimensionality reduction …
[PDF][PDF] A fast matrix completion method based on truncated 𝑳𝟐, 𝟏 norm minimization
Z Liu, Y Bao, C Wang, X Chen, Q Liu - aimspress.com
In recent years, a truncated nuclear norm regularization (TNNR) method has obtained much
attention from researchers in machine learning and image processing areas, because it is …
attention from researchers in machine learning and image processing areas, because it is …