Results 131 to 140 of about 467,408 (158)

Optimal merging of sorted data under the mean absolute error criterion

Computers & Electrical Engineering, 1992
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Raymond, Don M., Fahmy, Moustafa M.
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Optimal weighted order statistic filters under the mean absolute error criterion

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
Based on the relationship between weighted order statistic (WOS) filters and threshold logic, an algorithm is developed for determining optimal WOS filters under the mean absolute error (MAE) criterion. This algorithm requires much less computation than the adaptive stack filtering algorithm.
L. Yin, J. Astola, Y. Neuvo
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Minimum mean absolute error stack filtering with structural constraint and goals

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
A theory for the structural behavior of stack filters is developed. This theory provides a test which can determine if a given stack filter has any root signals; a method for classifying the root signal behavior of any stack filter found to have roots; and, perhaps most important, a method for designing stack filters with specific root signals or other
Gabbouj, Moncef, Coyle, Edward J.
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Objective image quality measure based on Weber-weighted mean absolute error

2008 9th International Conference on Signal Processing, 2008
This paper introduces three simple image quality measures based on Weber law. After normalizing the original and distorted images, the absolute error between them is found. The final index is a pixel by pixel weighted sum of errors. The maximum between the original image pixel and its negative is the inverse of the weighting factor.
Salah Ameer, Otman Basir
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Measuring Relative Accuracy: A Better Alternative to Mean Absolute Percentage Error

SSRN Electronic Journal, 2013
Surveys show that the mean absolute percentage error (MAPE) is the most widely used measure of forecast accuracy in businesses and organizations. It is also used to compare accuracy across multiple data sets, e.g. when choosing a forecasting method. Yet this metric systematically favours methods which under-forecast.
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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, 2021
Abdul Talib Bon, Sukono Sukono, Mustafa Mamat, Agung Prabowo, Agustini Tripena, Danang Adi Pratama, Ibnu Ginanjar Susilo, Zulfatul Mukarromah   +7 more
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Correlogram, predictability error growth, and bounds of mean square error of solar irradiance forecasts

Renewable and Sustainable Energy Reviews, 2022
Dazhi Yang
exaly  

Mean Squared Error, Deconstructed

Journal of Advances in Modeling Earth Systems, 2021
Timothy O Hodson, Thomas M Over, Sydney S Foks   +2 more
exaly  

Noise Robust Pitch Stylization Using Minimum Mean Absolute Error Criterion

Interspeech 2021, 2021
Chiranjeevi Yarra, Prasanta Kumar Ghosh
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Mean Absolute Error

2011
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