Results 21 to 30 of about 698,739 (268)
Identifying critical nodes in complex networks based on neighborhood information
The identification of important nodes in complex networks has always been a prominent topic in the field of network science. Nowadays, the emergence of large-scale networks has sparked our research interest in complex network centrality methods that ...
Na Zhao +5 more
doaj +1 more source
Improving Object Detectors by Exploiting Bounding Boxes for Augmentation Design
Recent advancements in developing pre-trained models using large-scale datasets have emphasized the importance of robust protocols to adapt them effectively to domain-specific data, especially when the available data is limited. To achieve data-efficient
S. Devi +4 more
doaj +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abdalla, Michel +2 more
openaire +3 more sources
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
Recently, it has been widely known that deep neural networks are highly vulnerable and easily broken by adversarial attacks. To mitigate the adversarial vulnerability, many defense algorithms have been proposed. Recently, to improve adversarial robustness, many works try to enhance feature representation by imposing more direct supervision on the ...
Hong Joo Lee 0001, Yong Man Ro
openaire +2 more sources
Improving Robustness of TCM-based Robust Steganography with Variable Robustness
15 pages, 5 figures, submitted to IWDW 2020: 19th International Workshop on Digital-forensics and ...
Jimin Zhang, Xianfeng Zhao, Xiaolei He
openaire +2 more sources
The robustness of robust implementation
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Moritz Meyer-ter-Vehn, Stephen Morris
openaire +3 more sources
Optimization of the semi-active vibration absorbers
In this paper, an efficient numerical approach is proposed to maximize the minimal damping of modes in a prescribed frequency range for general viscous tuned-mass systems.
Volodymyr Snitynskyy +6 more
doaj +1 more source
On the Regressand Noise Problem: Model Robustness and Synergy With Regression-Adapted Noise Filters
This research focuses on analyzing the robustness of different regression paradigms under regressand noise, which has not been examined in depth in the specialized literature.
Juan Martin +2 more
doaj +1 more source
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery [PDF]
To appear, IEEE Signal Processing Magazine, July ...
Namrata Vaswani +3 more
openaire +2 more sources
Improvement of a depth camera installation for fall risk estimation
We propose a monitoring system for accidental falling of patients using a point cloud dataset (PCD) of the depth camera-captured images. The conventional system requires the PCD to comprise images showing the bed top view.
Keisuke Isomoto, Daisuke Kushida
doaj +1 more source

