Suchergebnisse - "non‐negative matrix factorization"

An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems von Luo, Xin, Zhou, Mengchu, Xia, Yunni, Zhu, Qingsheng

“… Matrix-factorization (MF)-based approaches prove to be highly accurate and scalable in addressing collaborative filtering (CF) problems. During the MF process, …”
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Evaluation of non-negative matrix factorization of grey matter in age prediction von Varikuti, Deepthi P., Genon, Sarah, Sotiras, Aristeidis, Schwender, Holger, Hoffstaedter, Felix, Patil, Kaustubh R., Jockwitz, Christiane, Caspers, Svenja, Moebus, Susanne, Amunts, Katrin, Davatzikos, Christos, Eickhoff, Simon B.

“… Here we evaluated a non-negative matrix factorization (NNMF) approach to provide a reduced, but also interpretable representation of GMV data in age prediction frameworks in healthy and clinical populations …”
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Investigating microstructural variation in the human hippocampus using non-negative matrix factorization von Patel, Raihaan, Steele, Christopher J., Chen, Anthony G.X., Patel, Sejal, Devenyi, Gabriel A., Germann, Jürgen, Tardif, Christine L., Chakravarty, M. Mallar

“… In this work we use non-negative matrix factorization to identify patterns of microstructural variance in the human hippocampus …”
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Robust multi-feature collective non-negative matrix factorization for ECG biometrics von Huang, Yuwen, Yang, Gongping, Wang, Kuikui, Liu, Haiying, Yin, Yilong

“… •We propose a robust multi-feature collective non-negative matrix factorization model …”
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Subject-specific EEG channel selection using non-negative matrix factorization for lower-limb motor imagery recognition von Gurve, Dharmendra, Delisle-Rodriguez, Denis, Romero-Laiseca, Maria, Cardoso, Vivianne, Loterio, Flavia, Bastos, Teodiano, Krishnan, Sri

“… In this work, we make use of non-negative matrix factorization to extract the weight of the EEG channels based on their contribution …”
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Modeling Aerial Gamma-Ray Backgrounds Using Non-negative Matrix Factorization von Bandstra, M. S., Joshi, T. H. Y., Bilton, K. J., Zoglauer, A., Quiter, B. J.

“… We propose using non-negative matrix factorization (NMF) as a data-driven approach to spectral decomposition …”
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Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization von Feng, Lin, Liu, Wenzhe, Meng, Xiangzhu, Zhang, Yong

“… In recent years, Non-negative matrix factorization (NMF) has received constant concern in multi-view clustering due to its ability to deal with high-dimensional data …”
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A multicompartment model for intratumor tissue‐specific analysis of DCE‐MRI using non‐negative matrix factorization von Xie, Yuhai, Zhao, Jun, Zhang, Puming

“… ‐negative matrix factorization (NMF) algorithm called the minimum‐volume constraint NMF (MVC …”
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Longitudinal Relationship Between Brain Atrophy Patterns, Cognitive Decline, and Cerebrospinal Fluid Biomarkers in Alzheimer's Disease Explored by Orthonormal Projective Non-Negative Matrix Factorization von Shui, Lan, Shibata, Dean, Chan, Kwun Chuen Gary, Zhang, Wenbo, Sung, Junhyoun, Haynor, David R

“… We used a refined version of orthonormal projective non-negative matrix factorization (OPNMF) to identify six distinct spatial components of voxel-wise volume loss …”
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Interpretable dimensionality reduction and classification of mass spectrometry imaging data in a visceral pain model via non-negative matrix factorization von Pathirage, Kasun, Virmani, Aman, Scott, Alison J., Traub, Richard J., Ernst, Robert K., Ghodssi, Reza, Babadi, Behtash, Abshire, Pamela Ann

“… We use these approaches in conjunction with non-negative matrix factorization (NMF) to resolve two of the biggest challenges in MSI data analysis, namely: 1 …”
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Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization von Lin, Chuang, Wang, Binghui, Jiang, Ning, Farina, Dario

“… ) myoelectric control method for active prostheses. Approach. The approach is based on non-negative matrix factorization (NMF …”
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Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD von Anderson, Ariana, Douglas, Pamela K., Kerr, Wesley T., Haynes, Virginia S., Yuille, Alan L., Xie, Jianwen, Wu, Ying Nian, Brown, Jesse A., Cohen, Mark S.

“… We use Non-Negative Matrix Factorization (NMF) to infer the latent structure of multimodal ADHD data containing fMRI, MRI, phenotypic …”
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Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks von Li, Xuan, Gan, John Q., Wang, Haixian

“… separated brain regions across subjects. However, increasing evidence in many disciplines has shown that most realistic complex networks have overlapping community structure …”
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Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering von Vesselinov, V.V., Ahmmed, B., Mudunuru, M.K., Pepin, J.D., Burns, E.R., Siler, D.L., Karra, S., Middleton, R.S.

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Mapping the neuroanatomical heterogeneity of OCD using a framework integrating normative model and non-negative matrix factorization von Han, Shaoqiang, Xu, Yinhuan, Fang, Keke, Guo, Hui-Rong, Wei, Yarui, Liu, Liang, Wen, Baohong, Liu, Hao, Zhang, Yong, Cheng, Jingliang

“… We propose a comprehensible framework integrating normative model and non-negative matrix factorization (NMF …”
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Adaptive neuro-fuzzy inference system model driven by the non-negative matrix factorization-extracted muscle synergy patterns to estimate lower limb joint movements von Xu, Datao, Zhou, Huiyu, Quan, Wenjing, Gusztav, Fekete, Baker, Julien S., Gu, Yaodong

“… •NNMF-extracted muscle synergy patterns overcome the extreme sensitivity to noise.•ANFIS model solves the high degree of the non-linearity mapping problem.•The …”
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A deep joint sparse non-negative matrix factorization framework for identifying the common and subject-specific functional units of tongue motion during speech von Woo, Jonghye, Xing, Fangxu, Prince, Jerry L., Stone, Maureen, Gomez, Arnold D., Reese, Timothy G., Wedeen, Van J., El Fakhri, Georges

“… •We proposed to convert non-negative matrix factorization with sparse and manifold regularizations into modular structures …”
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Community detection in multiplex networks by deep structure-preserving non-negative matrix factorization von Zhou, Qinli, Zhu, Wenjie, Chen, Hao, Peng, Bo

“… The non-negative matrix factorization (NMF) algorithm has proven successful in community detection scenarios by offering good interpretations of community structures …”
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An enhanced EMG-driven Musculoskeletal model based on non-negative matrix factorization von Li, Jianmin, Wang, Ruyi, Pan, Lizhi

“… Non-negative matrix factorization (NMF) has been adopted to extract neural control information from surface EMG signals …”
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Community detection in multiplex networks by deep structure-preserving non-negative matrix factorization: Community detection in multiplex networks by deep von Zhou, Qinli, Zhu, Wenjie, Chen, Hao, Peng, Bo

“… The non-negative matrix factorization (NMF) algorithm has proven successful in community detection scenarios by offering good interpretations of community structures …”
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