Results 21 to 30 of about 10,260 (285)

CNN Learning Strategy for Recognizing Facial Expressions

IEEE Access, 2023
The ability to recognize facial expressions using computer vision is a crucial task that has numerous potential applications. Although deep neural networks have achieved high performance, their use in the recognition of facial expressions is still ...
Dong-Hwan Lee, Jang-Hee Yoo
doaj   +1 more source

Fast Chaotic Image Encryption Algorithm Using a Novel Divide and Conquer Diffusion Strategy

IEEE Access, 2022
To protect image privacy in real-time transmission, a fast chaotic image encryption algorithm using a novel divide and conquer diffusion strategy is proposed in this paper.
Bin Ge, Zhihua Shen, Jinbao Zhang
doaj   +1 more source

Divide and Conquer: A Flexible Deep Learning Strategy for Exploring Metabolic Heterogeneity from Mass Spectrometry Imaging Data

Analytical Chemistry, 2023
Research on metabolic heterogeneity provides an important basis for the study of the molecular mechanism of a disease and personalized treatment. The screening of metabolism-related sub-regions that affect disease development is essential for the more ...
Lei Guo, Ji-Yang Dong, Xiangnan Xu, Zhi-Chao Wu, Yin-Bin Zhang, Yongwei Wang, Peng-Fei Li, Zhi Tang, Chao Zhao, Zong-Wei Cai   +9 more
semanticscholar   +1 more source

Multiple sequence alignment with the Divide-and-Conquer method. [PDF]

, 1998
Stoye J. Multiple sequence alignment with the Divide-and-Conquer method. Gene. 1998;211(2):GC45-GC56.An improved algorithm for the simultaneous alignment of multiple protein and nucleic acid sequences, the Divide-and-Conquer Alignment procedure (DCA), is
Jens Stoye, Stoye, Jens ; https://orcid.org/   +1 more
core   +1 more source

SAT-based differential automatic search algorithm using divide-and-conquer strategy and its applications

Tongxin xuebao, 2023
To improve the efficiency of automatic search, an algorithm for searching the optimal differential characteristics based on SAT model was proposed by combining the divide-and-conquer strategy.The search space was divided into disjoint subsets by using ...
Bin HU, Xiao TAN, Senpeng WANG
doaj   +2 more sources

Putting Theory into Practice: Using a Human Rights Framework and Grassroots Organizing to Build a National Revolutionary Movement

Columbia Journal of Race and Law, 2019
This Essay proposes to use the theoretical framework of Critical Race Theory and Marxism to chart a way forward and away from the Tea Party’s racist dream and toward revolution.
Bekah Mandell
doaj   +1 more source

Convolved Feature Vector Based Adaptive Fuzzy Filter for Image De-Noising

Applied Sciences, 2023
In this paper, a convolved feature vector based adaptive fuzzy filter is proposed for impulse noise removal. The proposed filter follows traditional approach, i.e., detection of noisy pixels based on certain criteria followed by filtering process. In the
Muhammad Habib, Ayyaz Hussain, Eid Rehman, Syeda Mariam Muzammal, Benmao Cheng, Muhammad Aslam, Syeda Fizzah Jilani   +6 more
doaj   +1 more source

Maximum Correntropy Criterion with Distributed Method

Mathematics, 2022
The Maximum Correntropy Criterion (MCC) has recently triggered enormous research activities in engineering and machine learning communities since it is robust when faced with heavy-tailed noise or outliers in practice.
Fan Xie, Ting Hu, Shixu Wang, Baobin Wang   +3 more
doaj   +1 more source

The divide-and-conquer strategy for estimating the variablility of different data variance components with the bootstrap method.

, 2023
The divide-and-conquer strategy for estimating the variablility of different data variance components with the bootstrap method.
Guangming Li (607051)
core   +1 more source

A Divide-Align-Conquer Strategy for Program Synthesis [PDF]

arXiv.org, 2023
A major bottleneck in search-based program synthesis is the exponentially growing search space which makes learning large programs intractable. Humans mitigate this problem by leveraging the compositional nature of the real world: In structured domains ...
Jonas T. Witt, Stef Rasing, Sebastijan Dumancic, Tias Guns, C. Carbon   +4 more
semanticscholar   +1 more source