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A framework for least squares nonnegative matrix factorizations with Tikhonov regularization.

Y. Teng, S. Qi, F. Han, Y. Yao, F. Fan, Q. Lyu, and G. Wang. Neurocomputing, (2020)

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Qi Qi

Qi Li

Fei Qi

Qi Xu

Qi Wang

Other publications of authors with the same name

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification.D. Xue, X. Zhou, C. Li, Y. Yao, M. Rahaman, J. Zhang, H. Chen, J. Zhang, S. Qi, and H. Sun. IEEE Access, (2020)A Robust Gray-code Pattern Decoding Method for 3D Scanning with Structured Light.Z. Cui, K. Nie, S. Qi, C. Hou, and W. Chen. ICCVIT, page 9:1-9:5. ACM, (2023)A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks.C. Li, N. Xu, T. Jiang, S. Qi, F. Han, W. Qian, and X. Zhao. ITIB, volume 762 of Advances in Intelligent Systems and Computing, page 3-14. Springer, (2018)An attention-based deep learning network for predicting Platinum resistance in ovarian cancer.H. Zhuang, B. Li, J. Ma, P. Monkam, S. Qi, W. Qian, and D. He. CoRR, (2023)Two graph-regularized fuzzy subspace clustering methods.Y. Teng, S. Qi, F. Han, L. Xu, Y. Yao, and W. Qian. Appl. Soft Comput., (2021)Fine-grained lung nodule segmentation with pyramid deconvolutional neural network.X. Zhao, W. Sun, W. Qian, S. Qi, J. Sun, B. Zhang, and Z. Yang. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503S. SPIE, (2019)Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields.C. Li, H. Chen, D. Xue, Z. Hu, L. Zhang, L. He, N. Xu, S. Qi, H. Ma, and H. Sun. ITIB, volume 1011 of Advances in Intelligent Systems and Computing, page 209-221. Springer, (2019)Breast Tumor Segmentation in Ultrasound Images Based on U-NET Model.E. Michael, H. Ma, and S. Qi. ICR, volume 1431 of Advances in Intelligent Systems and Computing, page 22-31. Springer, (2022)Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features.F. Han, L. Yan, C. Li, S. Qi, W. Moore, Z. Liang, and W. Qian. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503Q. SPIE, (2019)Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos.X. Li, C. Li, F. Kulwa, M. Rahaman, W. Zhao, X. Wang, D. Xue, Y. Yao, Y. Cheng, J. Li and 2 other author(s). IEEE Access, (2020)

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Disambiguation of "Qi, Shouliang"

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A framework for least squares nonnegative matrix factorizations with Tikhonov regularization.

Please choose a person to relate this publication to

Qi Qi

Qi Li

Fei Qi

Qi Xu

Qi Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Qi, Shouliang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A framework for least squares nonnegative matrix factorizations with Tikhonov regularization.

Please choose a person to relate this publication to

Qi Qi

Qi Li

Fei Qi

Qi Xu

Qi Wang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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A framework for least squares nonnegative matrix factorizations with Tikhonov regularization.