Results 261 to 270 of about 129,793 (292)

A general framework for SVD flows and joint SVD flows

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003
The paper presents a general framework for the development of continuous algorithms for SVD and joint SVD problems. The framework for SVD is derived based on gradient flows on unitary groups. Two previous examples of SVD flows discovered heuristically are derived systematically using the framework.
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???????????????????? ?????????????????? ?????????????????????? ???????????????? ?????????????????????? ???????????? ?????????????????? ???????????????????????????? ???? ???????????? SVD-????????????????????????

2017
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???????????????????????? ?????????????? ????????????????? ?????? ??????????????????????? ???????????????????????? ?????????????? ???????????????????? ?? ???????? ?????????????? ?????????????????? svd ????????????????

2013
The article considers an approach to solving a Fredholm integral equation of the first kind by truncated SVD decomposition using the generalized residual principle for determining the optimal solution.
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???????????????? ???????????? ???????????? ?????? ?????????????? ???????????????????? ???????????????????????? ?????????? ???? ???????????? SVD ?? QR ????????????????????

2017
?????????????????????????? ???????????????? ???????????? ???????????? ?????? ?????????????????? ???????????????????? ?????????????????????? ?????????? ???? ???????????? ???????????????? SVD ???? QR ????????????????????. ?????????????? ??????????: ?????????????????? ???????????????????? ????????????, ???????????????? SVD ???? QR ????????????????????, ???
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Contrast Enhancement of an Image by DWT-SVD and DCT-SVD

2017
In this paper a novel contrast stretching technique is proposed that is based on two methods: (a) Discrete Wavelet Transform (DWT) followed by SVD and (b) Discrete Cosine Transform (DCT) followed by SVD where SVD refers to Singular Value Decomposition.
Sugandha Juneja, Rohit Anand
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Correlated SVD and Its Application in Bearing Fault Diagnosis

IEEE Transactions on Neural Networks and Learning Systems, 2023
Liu Tao, Shaobo Li
exaly  

Primjena SVD dekompozicije

2017
Cilj ovog rada je proučiti dekompoziciju matrice na singularne vrijednosti ili kraće SVD dekompoziciju matrice. U prvom dijelu rada bavili smo se teoretskom pozadinom SVD dekompozicije. Dakle, naveli smo osnovni SVD teorem, svojstva SVD-a, objasnili kako iz SVD-a dolazimo do rješenja sustava jednadžbi Ax = b, te izvršili ovu dekompoziciju na jednoj ...
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Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images

ISPRS Journal of Photogrammetry and Remote Sensing, 2021
Qiang Zhang, Qiangqiang Yuan, Zhiwei Li
exaly  

W-Cycle SVD: A Multilevel Algorithm for Batched SVD on GPUs

SC22: International Conference for High Performance Computing, Networking, Storage and Analysis, 2022
Junmin Xiao, Yunfei Pang, Qing Xue, Chaoyang Shui, Ke Meng, Hui Ma, Mingyi Li, Xiaoyang Zhang, Guangming Tan   +8 more
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A review on the selection criteria for the truncated SVD in Data Science applications

Journal of Computational Mathematics and Data Science, 2022
Antonella Falini
exaly