Search Results - "Non-negative matrix factorization"

Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering by Luong, Khanh, Nayak, Richi, Balasubramaniam, Thirunavukarasu, Bashar, Md Abul

“…•An orthogonal deep non-negative matrix factorization (Deep-NMF) framework that aims to learn the non-linear parts-based representation for multi-view data is…”
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Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation by Saberi-Movahed, Farid, Biswas, Bitasta, Tiwari, Prayag, Lehmann, Jens, Vahdati, Sahar

“…Deep Non-Negative Matrix Factorization (DNMF) methods provide an efficient low-dimensional representation of given data through their layered architecture. A…”
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Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering by Dong, Yuzhu, Che, Hangjun, Leung, Man-Fai, Liu, Cheng, Yan, Zheng

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DCCNMF: Deep Complementary and Consensus Non-negative Matrix Factorization for multi-view clustering by Gunawardena, Sohan, Luong, Khanh, Balasubramaniam, Thirunavukarasu, Nayak, Richi

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Predicting the potential associations between circRNA and drug sensitivity using a multisource feature‐based approach by Yin, Shuaidong, Xu, Peng, Jiang, Yefeng, Yang, Xin, Lin, Ye, Zheng, Manyu, Hu, Jinpeng, Zhao, Qi

“…The unique non‐coding RNA molecule known as circular RNA (circRNA) is distinguished from conventional linear RNA by having a longer half‐life, greater degree…”
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Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints by Li, Chenglu, Che, Hangjun, Leung, Man-Fai, Liu, Cheng, Yan, Zheng

“…Multi-view clustering (MVC) has received extensive attention due to its efficient processing of high-dimensional data. Most of the existing multi-view…”
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Enhanced non-negative matrix factorization via adaptive weighted bipartite graph learning for clustering problems by Huang, Yulei, Liu, Libo

“…Non-negative matrix factorization (NMF)-based clustering models, widely employed in modern applications, typically consist of two principal stages: obtaining…”
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Deep graph regularized non-negative matrix factorization for multi-view clustering by Li, Jianqiang, Zhou, Guoxu, Qiu, Yuning, Wang, Yanjiao, Zhang, Yu, Xie, Shengli

“…Multi-view clustering is an unsupervised method which aims to enhance the clustering performance by combining the knowledge from multiple view data…”
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Atrophy subtypes in prodromal Alzheimer's disease are associated with cognitive decline by Ten Kate, Mara, Dicks, Ellen, Visser, Pieter Jelle, van der Flier, Wiesje M, Teunissen, Charlotte E, Barkhof, Frederik, Scheltens, Philip, Tijms, Betty M

“…Alzheimer's disease is a heterogeneous disorder. Understanding the biological basis for this heterogeneity is key for developing personalized medicine. We…”
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Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous by Ungan, Gülnur, Pons‐Escoda, Albert, Ulinic, Daniel, Arús, Carles, Ortega‐Martorell, Sandra, Olier, Ivan, Vellido, Alfredo, Majós, Carles, Julià‐Sapé, Margarida

“…The standard treatment in glioblastoma includes maximal safe resection followed by concomitant radiotherapy plus chemotherapy and adjuvant temozolomide. The…”
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Validation of non‐negative matrix factorization for rapid assessment of large sets of atomic pair distribution function data by Liu, Chia-Hao, Wright, Christopher J., Gu, Ran, Bandi, Sasaank, Wustrow, Allison, Todd, Paul K., O'Nolan, Daniel, Beauvais, Michelle L., Neilson, James R., Chupas, Peter J., Chapman, Karena W., Billinge, Simon J. L.

“…The use of the non‐negative matrix factorization (NMF) technique is validated for automatically extracting physically relevant components from atomic pair…”
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Near-infrared dual-gas measurement of ethylene and ethane based on Noise-Suppressed NMF by Gao, Huifang, Zhang, Zhirong, He, Chongjun, Lu, Yuangang, Wang, Le

“…Dissolved gas analysis (DGA) is a critical method for transformer fault diagnosis. Medium-to-high-temperature thermal fault is a key focus in transformer…”
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L1/2-regularized nonnegative matrix factorization for HMM-based sequence representation learning by Cheng, Lingfang, Chen, Lifei, Zheng, Ping

“…Symbolic sequence representation plays a pivotal role in many resource-constrained expert systems. Recently, Hidden Markov Model (HMM)-based methods have…”
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Local and global structure double fusion embedding deep non-negative matrix factorization for multi-view clustering by Li, Songtao, Yuan, Jiaxin, Hu, Xi, Tang, Chang

“…•Proposes LFGNMF framework integrating local and global graph structures for multi-view clustering.•Introduces dual adaptive graph regularization to optimize…”
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Multi-view clustering via multi-manifold regularized non-negative matrix factorization by Zong, Linlin, Zhang, Xianchao, Zhao, Long, Yu, Hong, Zhao, Qianli

“…Non-negative matrix factorization based multi-view clustering algorithms have shown their competitiveness among different multi-view clustering algorithms…”
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Understanding components of mobility during the COVID-19 pandemic by Edsberg Møllgaard, Peter, Lehmann, Sune, Alessandretti, Laura

“…Travel restrictions have proven to be an effective strategy to control the spread of the COVID-19 epidemics, in part because they help delay disease…”
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Multi-label feature selection with shared common mode by Hu, Liang, Li, Yonghao, Gao, Wanfu, Zhang, Ping, Hu, Juncheng

“…•A novel embedded-based multi-label feature selection method is proposed.•Our method extracts the shared common mode between features and labels.•Our method…”
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nmfMapping: a cloud‐based web application for non‐negative matrix factorization of powder diffraction and pair distribution function datasets by Thatcher, Zachary, Liu, Chia-Hao, Yang, Long, McBride, Brennan C., Thinh Tran, Gia, Wustrow, Allison, Karlsen, Martin A., Neilson, James R., Ravnsbæk, Dorthe B., Billinge, Simon J. L.

“…A cloud‐hosted web‐based software application, nmfMapping, for carrying out a non‐negative matrix factorization of a set of powder diffraction or atomic pair…”
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Rank selection for non‐negative matrix factorization by Cai, Yun, Gu, Hong, Kenney, Toby

“…Non‐Negative Matrix Factorization (NMF) is a widely used dimension reduction method that factorizes a non‐negative data matrix into two lower dimensional…”
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Reconstruction and dynamic analysis of corticomuscular subnetworks reveal task-specific neural coordination in visuomotor control by You, Yugen, Lin, Jianeng, Zhang, Xinyuan, Lu, Jiewei, Yu, Ningbo, Han, Jianda

“…Understanding visuomotor coordination is critical for advancing behavioral neuroscience, particularly in elucidating fine hand control in daily activities…”
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