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Linear Transformation

Rhotrix Linear Transformation

Rhotrix Linear Transformation

... The method of converting a rhotrix to a special matrix called “coupled matrix” was suggested by [9]. This idea was used to solve systems of n n  and  n    1   n 1  matrix problems simultaneously. The concept of ...

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Metric and Kernel Learning Using a Linear Transformation

Metric and Kernel Learning Using a Linear Transformation

... Most of the existing work in metric learning has been done in the Mahalanobis distance (or metric) learning paradigm, which has been found to be a sufficiently powerful class of metrics for a variety of data. In one of ...

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Invariants of Surface Indicatrix in a Special Linear Transformation

Invariants of Surface Indicatrix in a Special Linear Transformation

... special linear transformation in curvilinear coordinates is done. Linear transformation in curvilinear coordinates defines deformation bounded by the surface in Euclidean ...

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Redundancy of Moment Conditions for Linear Transformation of Parameters

Redundancy of Moment Conditions for Linear Transformation of Parameters

... arbitrary linear transformation of an original parameter vector and derive the necessary and sufficient condition for an extra set of moment conditions to be redundant, given an initial set of moment ...

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Analysis of Image Retrieval Using Linear Transformation Techniques

Analysis of Image Retrieval Using Linear Transformation Techniques

... two linear transformation techniques Gabor-Walsh Wavelet pyramid technique and Curvelet transform 7method Feature vectors of each of the database images are extracted by applying these techniques, then by ...

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Measuring Asymmetric Nature of Beta Using a Smooth Linear Transformation

Measuring Asymmetric Nature of Beta Using a Smooth Linear Transformation

... smooth linear trans- formation function which is found to be yielding better result over that of the traditional binary classification of beta for capturing the ...smooth linear transformation ...

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A Generalized Linear Transformation Method for Simulating Meixner L´evy Processes

A Generalized Linear Transformation Method for Simulating Meixner L´evy Processes

... The sophistication of the models and the complexity of the financial products also imply that only in rare cases there exists tractable pricing formulaes for these prod- ucts. In pricing most exotic derivative securities, ...

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Contrast Enhancement of HDR images using
          Linear Transformation and Kernel Padding

Contrast Enhancement of HDR images using Linear Transformation and Kernel Padding

... the transformation technique we need to apply such as linear or non-linear the image is ...In linear transformation a slope of linear value is selected and all the pixels whose ...

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Application of linear transformation in numerical calculation

Application of linear transformation in numerical calculation

... The linear transformation is the most simple and the most basic ...the linear function is the most simple and the most basic ...The linear transformation is a main research object of ...

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On  the  Linear  Transformation  in  White-box  Cryptography

On the Linear Transformation in White-box Cryptography

... Abstract. Linear transformations are applied to the white-box crypto- graphic implementation for the diffusion effect to prevent key-dependent intermediate values from being ...the linear transfor- mation, ...

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High speed Image Dehazing Method Based on Linear Transformation

High speed Image Dehazing Method Based on Linear Transformation

... 522 | P a g e scene atmospheric scattering coefficient and gets the scene albedo [7]. ia, Bolun used Convolutional Neural Networks (CNN) relying on feature extraction to estimate a medium transmission map and offering a ...

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p q Analogue of a linear transformation preserving log convexity

p q Analogue of a linear transformation preserving log convexity

... The objective of this paper is to show that the log-convexity is preserved under the p, q-binomial transformation using a theorem of Liu and Wang [11, Theorem 4.8], who established the connection between ...

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Determinants of Individual Investor Behaviour: An Orthogonal Linear Transformation Approach

Determinants of Individual Investor Behaviour: An Orthogonal Linear Transformation Approach

... SUMMARY & CONCLUSION In the present paper, principal components analysis is carried out on the data collected from survey of sample individual investors, to extract the factors influenci[r] ...

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Isomorphism of Groups of Operators on Hilbert Space

Isomorphism of Groups of Operators on Hilbert Space

... Negative of a Linear Transformation :—Let E and E be any two linear spaces (over the field K).Let T:E→E be a linear transformation from E into E .Then the negative of T denoted by – T ...

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Classical and Quantum Behavior of Generalized Oscillators in Terms of Linear Canonical Transformations

Classical and Quantum Behavior of Generalized Oscillators in Terms of Linear Canonical Transformations

... a linear transformation for position and momentum by referring to the system of a generalized ...a linear canonical transformation, the classical and quantum correspondence is ...a ...

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PEB Based DWT with an Efficient Fixed Booth Multiplier

PEB Based DWT with an Efficient Fixed Booth Multiplier

... a linear transformation that operates on a data vector whose length is an integer power of two, transforming it into a numerically different vector of the same ...a linear transformation that ...

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Left and Right Magnifying Elements in Generalized Semigroups of Transformations by Using Partitions of a Set

Left and Right Magnifying Elements in Generalized Semigroups of Transformations by Using Partitions of a Set

... T (X, P ) is a subsemigroup of T (X) and if P = {X }, T (X, P ) = T (X ). Our aim in this paper is to give necessary and sufficient conditions for elements in T (X, P ) to be left or right magnifying. Moreover, we apply ...

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Learning Dynamic Generator Model by Alternating Back-Propagation through Time

Learning Dynamic Generator Model by Alternating Back-Propagation through Time

... the linear struc- tures in the transition and emission models of (Doretto et ...non-linear transformation of the state vector of the current frame as well as an independent Gaus- sian white noise ...

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On the Ternary Quadratic Diophantine Equation 4x2 – 7xy2 + 4y2 + x+y+1=19z2 

On the Ternary Quadratic Diophantine Equation 4x2 – 7xy2 + 4y2 + x+y+1=19z2 

... the linear transformation x=u+v, y=u-v and employing the method of factorization, different patterns of non-zero distinct integer solutions to the above equation are ...

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