Results 251 to 260 of about 10,260 (285)

Obfuscating Community Structure in Complex Network With Evolutionary Divide-and-Conquer Strategy

IEEE Transactions on Evolutionary Computation, 2023
As the number of social network users grows exponentially with increasingly complex profiles, community detection algorithms play a critical role in user portrait analysis.
Jie Zhao, K. Cheong
semanticscholar   +1 more source

Divide and Verify: Using a Divide-and-Conquer Strategy for Polynomial Formal Verification of Complex Circuits

Design, Automation and Test in Europe, 2023
With the rapid growth in the size and complexity of digital circuits, the possibility of bug occurrence has significantly increased. In order to avoid the enormous financial loss due to the production of buggy circuits, using scalable formal verification
R. Drechsler, Alireza Mahzoon
semanticscholar   +1 more source

Multi-Level Memory Compensation Network for Rain Removal via Divide-and-Conquer Strategy

IEEE Journal on Selected Topics in Signal Processing, 2021
Recently, an increasing number of algorithms have been proposed for rain streak removal. However, most existing methods ignore the discrepancy in removing rain streaks from background contents with different texture richness (frequencies).
Kui Jiang, Zhong-Yuan Wang, Peng Yi, Chen Chen, Xiaofen Wang, Junjun Jiang, Zi-Xiang Xiong   +6 more
semanticscholar   +1 more source

Density Peaks Clustering Algorithm for Large-scale Data Based on Divide-and-Conquer Strategy

2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), 2021
Density peaks clustering algorithm is a simple but effective clustering method, which requires fewer parameters and iteration, and can determine the number of clusters. But this algorithm has high complexity of time and space which makes it is unsuitable
Y. Wang
semanticscholar   +1 more source

Design of Divide-and-Conquer Noise Decontamination Strategy for M-Ary DCSK: From Remodulation to Denoising

IEEE Communications Letters, 2022
In this letter, an effective divide-and-conquer noise decontamination strategy is proposed to reduce the noise corrupting the reference signals of Hilbert-transform-based $M$ -ary differential chaos shift keying ( $M$ -ary DCSK), thereby enhancing the ...
Xiang-Ming Cai, Wei-Kai Xu, Lin Wang
semanticscholar   +1 more source

A divide-and-conquer strategy for facial landmark detection using dual-task CNN architecture

Pattern Recognition, 2020
In this paper, we propose a novel deep learning-based framework for facial landmark detection. This framework takes as input face image returned by a face detector (Faster R-CNN) and generates as output a set of landmarks positions.
Rachida Hannane, Abdessamad Elboushaki, K. Afdel   +2 more
semanticscholar   +1 more source

Performance Analysis of VLSI Architecture of Dadda Multiplier Using Divide and Conquer Strategy with Approximate Adders

2024 2nd International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)
Multiplication plays a pivotal role in diverse fields, including digital signal processing, scientific computing, machine learning, cryptography, computer graphics, control systems, finance, and embedded systems.
B. Kandula, R. Devi, M. Devi, Pilli Gamya Geethika, P. Hitesh, P. Y. N. S. Vara Prasad   +5 more
semanticscholar   +1 more source

A Divide-and-Conquer Strategy for Quantification of Light Absorption, Scattering, and Emission Properties of Fluorescent Nanomaterials in Solutions.

Analytical Chemistry, 2019
Optical properties of fluorescent materials including their UV-vis absorption, scattering, and on-resonance fluorescence activities are strongly wavelength-dependent.
Joanna Xiuzhu Xu, Yucheng Yuan, Shengli Zou, Ou Chen, Dongmao Zhang   +4 more
semanticscholar   +1 more source

Swift4D:Adaptive divide-and-conquer Gaussian Splatting for compact and efficient reconstruction of dynamic scene

International Conference on Learning Representations
Novel view synthesis has long been a practical but challenging task, although the introduction of numerous methods to solve this problem, even combining advanced representations like 3D Gaussian Splatting, they still struggle to recover high-quality ...
Jia-Hao Wu, Rui Peng, Zhi-Yan Wang, Lu Xiao, Lu-Yang Tang, Jin-Bo Yan, K. Xiong, Rong Wang   +7 more
semanticscholar   +1 more source

Electromagnetic-Thermal Cosimulation via Divide-and-Conquer PINNs

IEEE Antennas and Wireless Propagation Letters
A physics-informed neural networks (PINNs) framework is proposed for electromagnetic-thermal cosimulation. The framework utilizes two coupled PINNs: The first solves the Helmholtz equation for electric field distribution, while the second predicts ...
Z. Jia, Bian Wu, Ying Liu, Huan-Huan Zhang   +3 more
semanticscholar   +1 more source