Add to ORKGThe main functions of the metric and correlation are disclosed in the article. The analysis of Hausdorff metric function is made, as well as the metric based on the root-mean-square error, and also the normalized averaged correlation function is depicted. The results of the experiment are compared. The conclusions are drawn
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
The structural similarity (SSIM) metric and its multi-scale ex-tension (MS-SSIM) evaluate visual qua...
The main functions of the metric and correlation are disclosed in the article. The analysis of Hausd...
This work describes the basic methods and algorithms for determining the measure of similarity. We i...
This work describes the basic methods and algorithms for determining the measure of similarity. We i...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
There are numerous binary similarity measures. Different binary similarity measures estimate differe...
In this paper we compare to the standard correlation coefficient three estimators of similarity for ...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
To study concepts that are coded in language, researchers often collect lists of conceptual properti...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
The structural similarity (SSIM) metric and its multi-scale ex-tension (MS-SSIM) evaluate visual qua...
The main functions of the metric and correlation are disclosed in the article. The analysis of Hausd...
This work describes the basic methods and algorithms for determining the measure of similarity. We i...
This work describes the basic methods and algorithms for determining the measure of similarity. We i...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
There are numerous binary similarity measures. Different binary similarity measures estimate differe...
In this paper we compare to the standard correlation coefficient three estimators of similarity for ...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
To study concepts that are coded in language, researchers often collect lists of conceptual properti...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
The structural similarity (SSIM) metric and its multi-scale ex-tension (MS-SSIM) evaluate visual qua...