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A statistical feature extraction technique is proposed in order to find a trend in detection of defects.
Local Binary Patterns are considered as one of the texture descriptors with better results; they employ a statistical feature extraction by means of the binarization of the neighborhood of every image pixel with a local threshold determined by the central pixel.
The local mean of EMD can be used as a statistical feature for seizure detection.
The log-likelihood LL is a statistical feature that corresponds to the sum of each natural logarithm of the predicted probability that a sound belongs to its supposed category, as described in (6).
Bedeeuzzaman et al. have presented a seizure prediction algorithm with a statistical feature set consisting of mean absolute deviation (MAD) and inter-quartile range (IQR) to predict epileptic seizures[27].
Interestingly enough, the dependence of CC(k) is consistent with a hierarchical organization expressed by the power law CC k)∼k−β, a statistical feature found to describe many real-world networks [2].
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The proposed method effectively incorporates a priori statistical feature of intensity distribution and a modified distance regularized level set (MDRLS) method to extract object organs from CT image.
It is a metric to estimate the linear relationship between a single statistical feature and its corresponding label.
To improve efficiency of compressed image retrieval, we propose a novel statistical feature extraction algorithm in this paper to characterize the image content directly in its compressed domain.
Linear discriminant analysis [22] is a supervised statistical feature extraction method frequently used in machine learning.
The value closer to one indicates a better statistical feature for pitting growth estimation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com