Results 261 to 270 of about 517,707 (303)
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2014 IEEE International Conference on Image Processing (ICIP), 2014
Abstract: The proposed Fractional Eigenfaces method is a feature extraction technique for high dimensional data. It is related to Fractional PCA (FPCA), which is based on the theory of fractional covariance matrix, and it is an extension of the classical Eigenfaces.
Tiago Buarque Assunção de Carvalho +5 more
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Abstract: The proposed Fractional Eigenfaces method is a feature extraction technique for high dimensional data. It is related to Fractional PCA (FPCA), which is based on the theory of fractional covariance matrix, and it is an extension of the classical Eigenfaces.
Tiago Buarque Assunção de Carvalho +5 more
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Fractionation of deoxyribonucleoprotein
Biochimica et Biophysica Acta, 19551 The extraction of denatured desoxyribonucleoprotein, from calf thymus, with successive quantities of 0.6 N sodium chloride solution has been found to yield nucleic acid fractions (DNA) with varying base ratios, the initial extracts being richer in guanine and cytosine.
J A, LUCY, J A, BUTLER
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Fractional Strain Tensor and Fractional Elasticity
Journal of Elasticity, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Of fractions, fractional numerals, and fractional numbers
The Arithmetic Teacher, 1974Some elementary school mathematics textbooks differentiate between fractions and fractional numerals; others differentiate between fractions and fractional numbers. In the former case a fraction is considered a number, and in the latter case a fraction is considered a numeral.
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2020 28th European Signal Processing Conference (EUSIPCO), 2021
The Continuous Wavelet Transform (CWT) provides a multi-resolution representation of a signal by scaling a mother wavelet and convolving it with the signal. The scalogram (squared modulus of the CWT) then represents the spread of the signal's energy as a function of time and scale.
Harald Bârzan +3 more
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The Continuous Wavelet Transform (CWT) provides a multi-resolution representation of a signal by scaling a mother wavelet and convolving it with the signal. The scalogram (squared modulus of the CWT) then represents the spread of the signal's energy as a function of time and scale.
Harald Bârzan +3 more
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The fractional mixed fractional Brownian motion
Statistics & Probability Letters, 2003Let \(B_1\) and \(B_2\) be two independent fractional Brownian motions of Hurst index \(H_1\) and \(H_2\), respectively. Given real numbers \(\lambda_1\) and \(\lambda_2\), the two-parameter process \(Z\) is defined by \[ Z(w,s):= \lambda_1\,s^{H_2}\,B_1(w) + \lambda_2\,s^{H_1}\,B_2(w),\quad 0\leq w\leq s.
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Fractional return and fractional CAPM
Applied Financial Economics Letters, 2008The explanatory power of the capital assets pricing model (CAPM) is low because, it uses parsimonious modelling and differenced data. Overdifferenced asset prices show lower R 2 values than the data with I(1) property (i.e. first difference of them give ADF-test–statistics near to the critical level).
Reza Raei, Shapour Mohammadi
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The Connection between P-Fractions and Associated Fractions
Proceedings of the American Mathematical Society, 1970The associated contiaoed fractioas of a power series A, is a special case of the P-fractioo of a power series L*. The latter is closely coo nected withi the Pad6 table of L*. We prove that every P-fraction is the limi-it of the appropriate contraction of associated fractions in the sense that as the coefficients of L approach those r)f L* the e'lements
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On the ψ -Hilfer fractional derivative
Communications in Nonlinear Science and Numerical Simulation, 2018José Vanterler Costa Sousa +1 more
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