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Step 3: Classification: the extracted features of each region are analyzed and classified using a k-nearest neighbor classifier.

To achieve this, satellite imagery from Landsat between 2000 and 2015 was collected and classified using a maximum likelihood algorithm.

The features are extracted from the thermal images of electrical equipment and classified using a multilayered perceptron (MLP) artificial neural network and support vector machine (SVM).

Surface hydrophobicity of five nanoparticles (50 150 nm) was quantified using hydrophobic interaction chromatography (HIC) and classified using a purpose-developed hydrophobicity scale: the HIC index, range from 0.00 (hydrophilic) to 1.00 (hydrophobic).

In [ [19]], audio and video features were concatenated into row vectors and classified using a specially adapted variant of SVM.

Jiang et al. [40] make use of Local Phase Quantization from Three Orthogonal Planes (LPQ-TOP) to analyze the FACS AUs divided into temporal segments and classified using a set of Hidden Markov Models (HMMs).

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Principal components that characterize >95% of covariate space variability were then integrated and classified using an ISODATA (Iterative Self-Organizing Data) unsupervised technique.

REC comments were extracted from decision letters sent to investigators after review and were classified using a predefined checklist that was based on legislation and guidelines on clinical drug research and previous literature.

Thereafter, events shorter than 600 ms were considered as putative twitches and manually classified using a customized data viewer, showing single cases in a time window of 4 s.

Similarly, Hendrix et al[ 17] found a lack of correspondence between MDS depression symptoms and depression classified using a cut-point on the Cornell Scale for Depression in Dementia (CSDD).

One patient was excluded each time and was classified using a correlation coefficient based on the mean expression value of each selected gene for the pCR and non-pCR subsets.

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