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
The Dagstuhl Seminar \u27Similarity-based Clustering and its Application to Medicine and Biology\u2...
Similarity/distance measures play an important role in various signal/image processing applications ...
<p>The relationship between average similarity of an item to other items and its degree, as well as ...
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...
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...
The structural similarity (SSIM) metric and its multi-scale ex-tension (MS-SSIM) evaluate visual qua...
The article explored some properties of a very popular feature of image structural similarity, calle...
Similarity measures are used in many applications, from comparing and searching for images to proced...
This thesis examines the image quality assessment using Structural Similarity Index Metric (SSIM). T...
The power transformation that turns an arbitrary even dissimilarity into a semidistance or a definit...
The Dagstuhl Seminar \u27Similarity-based Clustering and its Application to Medicine and Biology\u2...
Similarity/distance measures play an important role in various signal/image processing applications ...
<p>The relationship between average similarity of an item to other items and its degree, as well as ...
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...
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...
The structural similarity (SSIM) metric and its multi-scale ex-tension (MS-SSIM) evaluate visual qua...
The article explored some properties of a very popular feature of image structural similarity, calle...
Similarity measures are used in many applications, from comparing and searching for images to proced...
This thesis examines the image quality assessment using Structural Similarity Index Metric (SSIM). T...
The power transformation that turns an arbitrary even dissimilarity into a semidistance or a definit...
The Dagstuhl Seminar \u27Similarity-based Clustering and its Application to Medicine and Biology\u2...
Similarity/distance measures play an important role in various signal/image processing applications ...
<p>The relationship between average similarity of an item to other items and its degree, as well as ...