Results 271 to 280 of about 190,116 (291)
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IEEE Transactions on Image Processing, 2006
In this paper, a high-capacity data hiding is proposed for embedding a large amount of information into halftone images. The embedded watermark can be distributed into several error-diffused images with the proposed minimal-error bit-searching technique (MEBS).
Pei, Soo-Chang, Guo, Jing-Ming
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In this paper, a high-capacity data hiding is proposed for embedding a large amount of information into halftone images. The embedded watermark can be distributed into several error-diffused images with the proposed minimal-error bit-searching technique (MEBS).
Pei, Soo-Chang, Guo, Jing-Ming
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IEEE Transactions on Vehicular Technology, 2016
An interference alignment (IA) transceiver design scheme for multiple-input–multiple-output (MIMO) multicell multiuser wireless communication systems is proposed by minimizing the maximum mean square error (MSE) of the received symbols to improve fairness among users. The formulated Min-Max MSE optimization problem is not jointly convex on the transmit
Anming Dong +3 more
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An interference alignment (IA) transceiver design scheme for multiple-input–multiple-output (MIMO) multicell multiuser wireless communication systems is proposed by minimizing the maximum mean square error (MSE) of the received symbols to improve fairness among users. The formulated Min-Max MSE optimization problem is not jointly convex on the transmit
Anming Dong +3 more
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Linear System Approximation By Mean Square Error Minimization In The Time Domain.
1957PhD ; Electrical engineering ; University of Michigan, Horace H. Rackham School of Graduate Studies ; http://deepblue.lib.umich.edu/bitstream/2027.42/181849/2/5800920 ...
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Determination the Smoothing Constant that Minimizes Mean Absolute Error and Mean Square Deviation
Proceedings of the International Conference on Industrial Engineering and Operations Management, 2021Abdul Talib Bon +7 more
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Journal of Chemometrics, 2000
We investigate a number of approaches to estimating the mean squared error of prediction (MSEP) in partial least squares (PLS) regression without resorting to external validation. Using two simulation examples based on real data, performances of the methods are evaluated in terms of their accuracy and their usefulness in determining the optimal number ...
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We investigate a number of approaches to estimating the mean squared error of prediction (MSEP) in partial least squares (PLS) regression without resorting to external validation. Using two simulation examples based on real data, performances of the methods are evaluated in terms of their accuracy and their usefulness in determining the optimal number ...
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Root mean square error or mean absolute error? Use their ratio as well
Information Sciences, 2022exaly
Communications in Statistics - Simulation and Computation, 2022
Catalina García García +2 more
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Catalina García García +2 more
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An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems
IEEE Transactions on Signal Processing, 2002Deniz Erdogmus, José C Príncipe
exaly
Colloquium: Quantum root-mean-square error and measurement uncertainty relations
Reviews of Modern Physics, 2014Paul Busch +2 more
exaly