Results 311 to 320 of about 2,392,377 (346)

Generalized stack filters and minimum mean absolute error estimation

1988., IEEE International Symposium on Circuits and Systems, 2003
A class of sliding window operators called generalized stack filters is developed. This class of filters, which includes all rank order filters, stack filters, and digital morphological filters, is the set of all filters possessing the threshold decomposition architecture and a consistency property called the stacking property.
J.H. Lin, E.J. Coyle
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Lossless image coding based on minimum mean absolute error predictors

SICE Annual Conference 2007, 2007
For prediction-based lossless image coding, the coding performance depends largely on the efficiency of predictors. In general, mmse predictors are well used, but these predictors suffer from large errors at edges. In response, the authors have proposed minimum mean absolute error (mmae) predictors which are less sensitive to edges.
null Yoshihiko Hashidume, null Yoshitaka Morikawa   +1 more
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Optimal morphological restoration: The morphological filter mean-absolute-error theorem

Journal of Visual Communication and Image Representation, 1992
Morphological restoration is grounded on the Matheron representation for morphological filters, in the present context these being monotonically increasing, translation-invariant image-to-image operators. As conceived in its most general form, optimal-morphological-filter design involves a search over potential bases of structuring elements that can be
Robert P. Loge, Edward R. Dougherty
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Adaptive generalized stack filtering under the mean-absolute-error criterion

SPIE Proceedings, 1992
A new adaptive algorithm is developed in this paper for determining optimal generalized stack (GS) filters under the mean absolute error criterion. This algorithm, based on the neural network representation of Boolean functions, is much more efficient than the traditional truth table based algorithms.
Lin Yin, Jaakko T. Astola, Yrjo A. Neuvo
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Mean absolute percentage error and bias in economic forecasting

Economics Letters, 2011
Abstract This article develops a simple theoretical framework to show how forecasters may bias downward point predictions under the assumption that the asymmetric loss function is directly related to the (Mean) Absolute Percentage Error (M)APE.
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Optimal merging of sorted data under the mean absolute error criterion

Computers & Electrical Engineering, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Raymond, Don M., Fahmy, Moustafa M.
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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
openaire   +1 more source

Towards complete and error-free genome assemblies of all vertebrate species

Nature, 2021
Arang Rhie, Shane A Mccarthy, Olivier Fedrigo   +2 more
exaly  

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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Noise Robust Pitch Stylization Using Minimum Mean Absolute Error Criterion

Interspeech 2021, 2021
Chiranjeevi Yarra, Prasanta Kumar Ghosh
openaire   +1 more source