Results 1 to 10 of about 1,655,569 (337)
MAD saccade: statistically robust saccade threshold estimation via the median absolute deviation [PDF]
Journal of Eye Movement Research, 2020 Saccade detection is a critical step in the analysis of gaze data. A common method for saccade detection is to use a simple threshold for velocity or acceleration values, which can be estimated from the data using the mean and standard deviation. However,
Benjamin Voloh +3 more
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Portfolio Optimization with a Mean–Absolute Deviation–Entropy Multi-Objective Model [PDF]
Entropy, 2021 Investors wish to obtain the best trade-off between the return and risk. In portfolio optimization, the mean-absolute deviation model has been used to achieve the target rate of return and minimize the risk.
Weng Siew Lam +2 more
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Gesture recognition method based on misalignment mean absolute deviation and KL divergence [PDF]
EURASIP Journal on Wireless Communications and Networking, 2022 At present, it has become very convenient to collect channel state information (CSI) from ubiquitous commercial WiFi network cards, and the location or activity of a human who affects the CSI can be recognized by analyzing the change of the CSI ...
Yong Tian +4 more
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A median absolute deviation-neural network (MAD-NN) method for atmospheric temperature data cleaning [PDF]
MethodsX, 2021 Some of the biggest challenges in climate change arise from bad dataset. To address this issue, we have developed a novel method for cleaning coarse atmospheric dataset; the median absolute deviation-neural network (MAD-NN) method.
Oluwafisayo Owolabi +4 more
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Image-Based Concrete Crack Detection Method Using the Median Absolute Deviation [PDF]
SensorsThis paper proposes an innovative approach for detecting and quantifying concrete cracks using an adaptive threshold method based on Median Absolute Deviation (MAD) in images.
Juan Camilo Avendaño +2 more
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Noise Estimation for Image Sensor Based on Local Entropy and Median Absolute Deviation [PDF]
Sensors, 2019 Noise estimation for image sensor is a key technique in many image pre-processing applications such as blind de-noising. The existing noise estimation methods for additive white Gaussian noise (AWGN) and Poisson-Gaussian noise (PGN) may underestimate or ...
Yongsong Li +5 more
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Jurnal Fourier, 2020 Penelitian ini membahas tentang pembentukan portofolio optimal menggunakan model Mean Absolute Deviation (MAD) dan model Conditional Mean Variance (CMV).
Eka Nur Vanti, Epha Diana Supandi
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Constrained least absolute deviation neural networks. [PDF]
IEEE Trans Neural Netw, 2008 It is well known that least absolute deviation (LAD) criterion or L(1)-norm used for estimation of parameters is characterized by robustness, i.e., the estimated parameters are totally resistant (insensitive) to large changes in the sampled data. This is an extremely useful feature, especially, when the sampled data are known to be contaminated by ...
Wang Z, Peterson BS.
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COMPARISON OF CONTROL CHART X ̅ BASED ON MEDIAN ABSOLUTE DEVIATION WITH S
BarekengA stable and controlled process will produce products of good quality following predetermined specifications. A control chart is one of the statistical tools that can be used to measure the stability of a product process in a controlled state.
Mayashari Mayashari +2 more
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BarekengIn investing in stocks, an investor must be able to form a stock portfolio to obtain optimal results. Factor analysis is one way to select stocks to form a portfolio. Factor analysis with Principal Component Analysis (PCA) extraction is used to summarize
Aditya Nugraha Pratama +2 more
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