Sentence examples for input a classification from inspiring English sources

Then each tree gives the queried input a classification.

Many researchers have tried to analyze facial expressions by using the distribution of facial features as input of a classification system in order to recognize expressions.

Then the feature vectors are extracted from the control chart patterns (CCPs) and served as an input to a classification scheme which is comprised of several support vector machine (SVM) classifiers.

The new parameterization proposed in this work has been used as the input to a classification system that emulates a perceptual assessment of voice following the GRBAS scale in G and R traits.

Using these parameters as input a fuzzy classification system would identify the normal and vulnerable points in a given information system.

The typical background and foreground intensity values of each block were then fed as input parameters to a classification algorithm using Markov Random Fields [as implemented in the ITK library (Insight Toolkit itk::MRFImageFilter: http://www.itk.org/Doxygen/html/classitk_1_1MRFImageFilter.html)], which classified each voxel as either background or tissue (see Figure 1 F and G).

Therefore, the mutual information between features and classification types is a good metric to measure the utility/privacy information implied by data, since mutual information can be used to quantify the information correlation between the input and output of a classification model.

The extracted positional frequency feature is used as an input into RBF-TSS, a classification algorithm for transcription start sites based on a radial basis function neural network (RBFNN).

With MLPs, only a few choices of input features allow obtaining a classification error lower than that of a random classifier (for which 50% error is expected).

For this purpose, the center of gravity of the candidate region is calculated, and the intensity values of each candidate region are mapped into the center of an empty candidate image of a fixed size, i.e., an input for classification.

One way, which proved successful in the NUSAP method, for reduction of assessment variables is a classification of input variables and a consequent sensitivity analysis to discern highly relevant input variables [25].