Examples of 'similarity measure' in a sentence
Meaning of "similarity measure"
similarity measure: Involves quantifying the likeness or resemblance between two or more entities or objects
How to use "similarity measure" in a sentence
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similarity measure
Such a comparison is made by using a similarity measure.
The similarity measure is defined as follows.
To be able to use a distance or similarity measure.
Correlation similarity measure is recommended as the best measure.
So we need a distance measure or similarity measure.
We proposed a similarity measure that is invariant to illumination changes.
This actually comes down to acting on the similarity measure.
Based on that the similarity measure can be calculated.
A similarity measure between symptoms and diseases is provided.
In one example a similarity measure is filtered.
The similarity measure between two images turns into a graph matching problem.
It is therefore beneficial to find a suitable similarity measure that captures this collusive behavior.
The similarity measure was then.
The second one aims at establishing a style similarity measure between two recordings.
Using a unique similarity measure does not guarantee a perfect alignment.
See also
The methods generally used to solve these tasks rely on a similarity measure to compare timestamps.
Calculate the similarity measure between all pairs of groups of stations.
Learning such thresholds can be seen as a first step towards learning a complete similarity measure.
Any similarity measure can be used to construct the display map.
This comparison uses a particular similarity measure to find the best match and predict.
A similarity measure is defined on the basis of this feature matrix according to its characteristics.
In one example the comparison comprises calculating a similarity measure between the two images.
An image similarity measure quantifies the degree of similarity between intensity patterns in two images.
Also the similarity determination on the identified tracks may be performed using any similarity measure.
In one example calculating a similarity measure between the two images comprises calculating a phase correlation.
The results of CSA are dependent on the competence of the similarity measure.
In one example calculating a similarity measure between the two images comprises calculating a chamfer matching.
In order to identify images with the same SNP a similarity measure is required.
The region with the best similarity measure is selected for the further image processing steps.
Relatedness is determined by comparing the gloss vector using the Cosine similarity measure.
During this step a similarity measure is computed between the input speech and each reference pattern.
We then use Kolmogorov complexity to define a new similarity measure obtained by lossless compression.
A new similarity measure for NPI is proposed and evaluated.
Furthermore, an approach to estimate the proposed similarity measure is described.
ABSim uses a similarity measure to discriminate the related instances andto compute a scores matrix.
In the following, some options for a determination of the second similarity measure will be described.
A similarity measure associated with a global representation ( cumulative vectors ) is also proposed.
Alternatively, any simulations with an overall similarity measure within a specified threshold are selected for interpolation.
This similarity measure exhibits strong sensitivity to noise in zones of low signal-to-noise ratio.
Step 4c - Identify two groups having the highest similarity measure and combine them into one group.
In any case, the similarity measure is called the inter-object cross correlation parameter IOCi, j.
Namely, a block matching method using cross-correlation as the similarity measure and the Lukas-Kanade method.
In a general manner the similarity measure f used is to satisfy the following properties,.
We use the mutual information ( MI ) and rigidity penalty ( RP ) to be the similarity measure.
As stated earlier, a similarity measure is required to determine the closeness between two documents.
Fig . 3 schematically illustrates the vector addition of the individual similarity measure vectors SM1 to SM3.
Is the amalgamated similarity measure between group X not involved in step 2 and new group C.
Similarity measure e.g. cosine similarity, Minkowski distance, etc.
We denote the gene co-expression similarity measure of a pair of genes i and j by s i j { \ displaystyle s _ { ij.
In any case, the similarity measure is called the inter-object cross-correlation parameter IOCi, ji, m.
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Subject matter similarity across levels of education
That the more there was gene similarity
Subject matter similarity within levels of education
Examples of using Measure
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It was an emergency measure but overcrowding is still a problem
Measure the difference between the markings
The unit of measure for water pressure
