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Detecting landscape forms using Fourier transformation and singular value decomposition (SVD)
Computers & Geosciences, 2009Landscape structure is a main determinant of ecological landscape potentials. The basic differentiation of relief into depressions and elevations at deliberately chosen scales can be managed comfortably by the Fourier transformation. The automated extraction of these structures from an elevation map using Fourier transformation or singular value ...
Ralf Wieland, Claus Dalchow
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Singular Value Decomposition (SVD) and Polar Form
2001In this section we assume that we are dealing with a real Euclidean space E. Let \( f : E \rightarrow E \) be any linear map. In general, it may not be possible to diagonalize f. We show that every linear map can be diagonalized if we are willing to use two orthonormal bases. This is the celebrated singular value decomposition (SVD).
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Face recognition technique using Gabor wavelets and Singular Value Decomposition (SVD)
2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014), 2014Gabor wavelets (also known as Gabor filters) and Singular Value Decomposition (SVD) have been exploited extensively in the area of face recognition. In this paper, a face recognition system is developed combining features extracted using both Gabor wavelets and SVD.
Lim Song Li, Norashikin Yahya
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DALM-SVD: Accelerated sparse coding through singular value decomposition of the dictionary
2014 IEEE International Conference on Image Processing (ICIP), 2014Sparse coding techniques have seen an increasing range of applications in recent years, especially in the area of image processing. In particular, sparse coding using l 1 -regularization has been efficiently solved with the Augmented Lagrangian (AL) applied to its dual formulation (DALM).
Hugo R. Gonçalves +4 more
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New technique for face recognition based on Singular Value Decomposition (SVD)
2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech), 2016In this paper, we describe a texture analysis which plays an important role in face analysis. Many studies have used texture image to characterize a face. Local Binary Pattern (LBP) coding is a state-of-the-art technique characterized by it's simplicity and efficiency.
El Mahdi Barrah +2 more
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Passivity Verification and Macromodel Interpolation Using Singular Value Decomposition (SVD)
2015 IEEE Workshop on Microelectronics and Electron Devices (WMED), 2015Approximation of the Rational Function (RF) order plays a key role in passivity checking of large interconnect memory design. RF approximation can be estimated using the Least- square solutions; the Singular Value Decomposition (SVD) is used to solve large order macromodels.
Dalia Elgamel, Roy Greeff, David Ovard
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The Journal of the Acoustical Society of America, 1999
The fish target strength estimation when using acoustic echoes from a single-beam echosounder is possible after solving ill-conditioned equations where probability density functions (PDFs) of echo level, target strength, and beam pattern are involved.
Marek Moszynski, Andrzej Stepnowski
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The fish target strength estimation when using acoustic echoes from a single-beam echosounder is possible after solving ill-conditioned equations where probability density functions (PDFs) of echo level, target strength, and beam pattern are involved.
Marek Moszynski, Andrzej Stepnowski
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Evaluation of Clustering Patterns using Singular Value Decomposition (SVD)
International Journal of Computational Models and Algorithms in Medicine, 2010Computational techniques, such as Simple K, have been used for exploratory analysis in applications ranging from data mining research, machine learning, and computational biology. The medical domain has benefitted from these applications, and in this regard, the authors analyze patterns in individuals of selected age groups linked with the possibility ...
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