Results 111 to 120 of about 541,400 (289)

Quantization of Polaritons Confined in Dielectric Structures

Laser &Photonics Reviews, EarlyView.
This study addresses the limitations of the Hopfield model of strong light‐matter coupling in the case of structured dieletrics. A method to derive quantum models in the polariton basis using Bogoliubov transformation and third quantization is introduced, demonstrating how to boost interaction strength and engineer nonlocal interactions for strongly ...
Amir Rahmani, Dogyun Ko, Maciej Dems, Andrzej Opala, Michał Matuszewski   +4 more
wiley   +1 more source

CUR Decompositions, Similarity Matrices, and Subspace Clustering

Frontiers in Applied Mathematics and Statistics, 2019
A general framework for solving the subspace clustering problem using the CUR decomposition is presented. The CUR decomposition provides a natural way to construct similarity matrices for data that come from a union of unknown subspaces U=⋃Mi=1Si.
Akram Aldroubi, Keaton Hamm, Ahmet Bugra Koku, Ali Sekmen   +3 more
doaj   +1 more source

Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data

Complexity, 2020
Low-Rank Representation (LRR) is a powerful subspace clustering method because of its successful learning of low-dimensional subspace of data. With the breakthrough of “OMics” technology, many LRR-based methods have been proposed and used to cancer ...
Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiang-Zhen Kong   +5 more
doaj   +1 more source

Iterative deep subspace clustering

, 2018
Recently, deep learning has been widely used for subspace clustering problem due to the excellent feature extraction ability of deep neural network. Most of the existing methods are built upon the auto-encoder networks.
Shuai Wang, Edwin Hancock, Jun Zhou, Zhou, Jun, Hancock, E, Zhou, J, Lei Zhou, Wang, S, Bai, X, Zhou, L, Xiao Bai   +10 more
core   +1 more source

Fast Reconstruction of Motion‐Corrupted Data With Mobile‐GRAPPA: Motion and δB0$$ \delta {B}_0 $$ Inhomogeneity Correction Leveraging Efficient GRAPPA

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an accurate and computationally efficient motion‐corrected MRI reconstruction framework that incorporates hundreds to thousands of motion and δB0$$ \delta {B}_0 $$ estimates from high‐temporal‐resolution tracking. Methods We propose Mobile‐GRAPPA, a k‐space preprocessing approach that uses MLP‐parameterized local GRAPPA ...
Yimeng Lin, Nan Wang, Daniel Abraham, Daniel Polak, Xiaozhi Cao, Aizada Nurdinova, Stephen Cauley, Kawin Setsompop   +7 more
wiley   +1 more source

A Case Study to Monitor Parallel‐Connected Ni–Cd Batteries on EMU Trains Through Compositional Data Control Charts

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Electric multiple unit (EMU) trains, widely used in modern railway transportation, use Nickel–Cadmium (Ni–Cd) batteries to power auxiliary systems on board, including lighting, ventilation, control electronics, and emergency systems. These batteries are often connected in parallel to ensure a wider power supply range for electrical loads that ...
Christian Capezza, Guido Cesaro, Antonio Lepore, Biagio Palumbo, Emanuele Rossi   +4 more
wiley   +1 more source

Smart molecular design of NIR‐II organic fluorophores through self‐driven iterative evolution, deep learning, and fragment‐based assembly

Smart Molecules, EarlyView.
A smart design strategy for NIR‐II organic fluorophores is proposed by combining self‐driven Iterative evolution, deep Learning, and fragment‐based assembly. This work establishes a broadly applicable approach for molecular design, accelerating the discovery of NIR‐II fluorophores and extending to optoelectronic materials and therapeutic compounds ...
Yu Zhang, Zhubin Hu, Xinyuan Wang, Zhenrong Sun, Yongye Liang, Cheng Zhong, Haitao Sun   +6 more
wiley   +1 more source

Multi-view clustering via consensus coefficient matrix and separate segmentation matrices

Journal of Information and Telecommunication
In recent years, achieving data from different sources and different views has caused to have many multi-view data sets. Among multi-view learning methods, multi-view clustering has been considered as an appropriate method to analyse these data by many ...
Fatemeh Sadjadi, Mina Jamshidi, Amir Asadi   +2 more
doaj   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data. [PDF]

PLoS Comput Biol, 2022
Wang H, Zhao J, Zheng C, Su Y.
europepmc   +1 more source