Results 61 to 70 of about 1,627,028 (236)

Synchronization‐Performance‐Oriented Frequency‐Domain Iterative Learning Control for Wafer and Reticle Stages

Asian Journal of Control, EarlyView.
ABSTRACT The synchronization accuracy between the wafer stage and reticle stage in lithography is critical to overlay and critical dimension uniformity. Existing iterative learning control (ILC) methods indirectly optimize synchronization via time‐domain errors, failing to balance low‐frequency tracking accuracy and high‐frequency noise suppression ...
Xin Zhou, Yuejing Qi, Zhipeng Wu, Wei Qi, Tianwei Xu   +4 more
wiley   +1 more source

Fairer non-negative matrix factorization

Frontiers in Big Data
There has been a recent critical need to study fairness and bias in machine learning (ML) algorithms. Since there is clearly no one-size-fits-all solution to fairness, ML methods should be developed alongside bias mitigation strategies that are practical
Lara Kassab, Erin George, Deanna Needell, Haowen Geng, Nika Jafar Nia, Aoxi Li   +5 more
doaj   +1 more source

When Collaboration Bridges or Breaks: A Systematic Review of Emerging Trends in Supply Chain Resilience and Sustainability

Business Strategy and the Environment, EarlyView.
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia, Luca Urciuoli   +1 more
wiley   +1 more source

Enhancing Hyperspectral Unmixing With Two-Stage Multiplicative Update Nonnegative Matrix Factorization

IEEE Access, 2019
Nonnegative matrix factorization (NMF) is a powerful tool for hyperspectral unmixing (HU). This method factorizes a hyperspectral cube into constituent endmembers and their fractional abundances.
Li Sun, Kang Zhao, Congying Han, Ziwen Liu   +3 more
doaj   +1 more source

Latent Multi-View Semi-Nonnegative Matrix Factorization with Block Diagonal Constraint

Axioms, 2022
Multi-view clustering algorithms based on matrix factorization have gained enormous development in recent years. Although these algorithms have gained impressive results, they typically neglect the spatial structures that the latent data representation ...
Lin Yuan, Xiaofei Yang, Zhiwei Xing, Yingcang Ma   +3 more
doaj   +1 more source

Tight Semi-nonnegative Matrix Factorization [PDF]

Pattern Recognition and Image Analysis, 2020
The nonnegative matrix factorization is a widely used, flexible matrix decomposition, finding applications in biology, image and signal processing and information retrieval, among other areas. Here we present a related matrix factorization. A multi-objective optimization problem finds conical combinations of templates that approximate a given data ...
openaire   +3 more sources

Multi-Component Nonnegative Matrix Factorization [PDF]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Real data are usually complex and contain various components. For example, face images have expressions and genders. Each component mainly reflects one aspect of data and provides information others do not have. Therefore, exploring the semantic information of multiple components as well as the diversity among them is of great benefit to understand ...
Wang, Jing, Tian, Feng, Wang, Xiao, Yu, Hongchuan, Liu, Chang Hong, Yang, Liang, Bournemouth University, Tsinghua University, Tianjin University of Commerce   +8 more
openaire   +2 more sources

Development of a Real Time Sparse Non-Negative Matrix Factorization Module for Cochlear Implants by Using xPC Target

, 2013
Cochlear implants (CIs) require efficient speech processing to maximize information transmission to the brain, especially in noise. A novel CI processing strategy was proposed in our previous studies, in which sparsity-constrained non-negative matrix ...
Mark Lutman, Bleeck, S., Hu, Hongmei, Lutman, M.E., Agamemnon Krasoulis, Krasoulis, A., Hongmei Hu, Stefan Bleeck   +7 more
core   +1 more source

Multiple Graph Adaptive Regularized Semi-Supervised Nonnegative Matrix Factorization with Sparse Constraint for Data Representation

, 2022
Multiple graph and semi-supervision techniques have been successfully introduced into the nonnegative matrix factorization (NMF) model for taking full advantage of the manifold structure and priori information of data to capture excellent low-dimensional
Yi Wang, Wang, Yi, Zhao, Xuezhuan, Lingling Li, Zhang, Ji, Di, Jinhong, Kexin Zhang, Jinhong Di, Xuezhuan Zhao, Zhang, Kexin, Ji Zhang, Li, Lingling   +11 more
core   +1 more source

The Joint Effect of Buyer Quantitative and Qualitative Information Disclosure on Suppliers' Green Innovation

Business Strategy and the Environment, EarlyView.
ABSTRACT Firms' strategic decision‐making relies not only on their own information but also on that disclosed by supply chain partners. While research recognizes buyers' importance in green innovation, the impact of their information disclosure remains underdeveloped. Drawing on the extended resource‐based view, this study investigates the joint effect
Yang Yang, Yan Jiang
wiley   +1 more source