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Singular value decomposition
Known as:
SVD
, Singular-value decomposition
, SV decomposition
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In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix. It is the generalization of the…
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Related topics
Related topics
50 relations
Apache Spark
Bidiagonalization
Biplot
Collaborative filtering
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Restructuring of deep neural network acoustic models with singular value decomposition
Jian Xue
,
Jinyu Li
,
Y. Gong
Interspeech
2013
Corpus ID: 7833953
Recently proposed deep neural network (DNN) obtains significant accuracy improvements in many large vocabulary continuous speech…
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Highly Cited
2011
Highly Cited
2011
Image Fusion Technique using Multi-resolution Singular Value Decomposition
V. Naidu
2011
Corpus ID: 36002918
A novel image fusion technique based on multi-resolution singular value decomposition (MSVD) has been presented and evaluated…
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Highly Cited
2008
Highly Cited
2008
Identifying Tampered Regions Using Singular Value Decomposition in Digital Image Forensics
Xiaobin Kang
,
ShengMin Wei
International Conference on Computer Science and…
2008
Corpus ID: 14543339
Detecting tampered regions and proving the authenticity and integrity of a digital image becomes increasingly important in…
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Highly Cited
2002
Highly Cited
2002
PHYSICAL INTERPRETATION OF THE PROPER ORTHOGONAL MODES USING THE SINGULAR VALUE DECOMPOSITION
G. Kerschen
,
J. Golinval
2002
Corpus ID: 16020181
Abstract Proper orthogonal decomposition is a statistical pattern analysis technique for finding the dominant structures, called…
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Highly Cited
1999
Highly Cited
1999
Reduction of fuzzy rule base via singular value decomposition
Y. Yam
,
P. Baranyi
,
Chi-Tin Yang
IEEE transactions on fuzzy systems
1999
Corpus ID: 17018388
Introduces a singular value-based method for reducing a given fuzzy rule set. The method conducts singular value decomposition of…
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Highly Cited
1996
Highly Cited
1996
On updating the singular value decomposition
Chang-Wan Jeon
,
Hyoung-Joong Kim
,
Jang-Gyu Lee
Proceedings: International Conference on…
1996
Corpus ID: 120348317
In this paper, a new technique for updating the SVD is described. It starts from the fact that the SVD can be reduced to a…
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Highly Cited
1993
Highly Cited
1993
Subspace-based signal analysis using singular value decomposition
A. V. D. Veen
,
E. Deprettere
,
A. Swindlehurst
Proceedings of the IEEE
1993
Corpus ID: 15356004
A unified approach is presented to the related problems of recovering signal parameters from noisy observations and identifying…
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Highly Cited
1992
Highly Cited
1992
Rank-Revealing QR Factorizations and the Singular Value Decomposition
Y. Hong
,
C. Pan
1992
Corpus ID: 20593044
T. Chan has noted that, even when the singular value decomposition of a matrix A is known, it is still not obvious how to find a…
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Highly Cited
1978
Highly Cited
1978
A new identification and model reduction algorithm via singular value decomposition
S. Kung
1978
Corpus ID: 115891362
Highly Cited
1976
Highly Cited
1976
Singular Value Decomposition (SVD) Image Coding
H. Andrews
,
C. Patterson
IEEE Transactions on Communications
1976
Corpus ID: 120080872
The numerical techniques of transform image coding are well known in the image bandwidth compression literature. This concise…
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