| Plural | histograms |
histogram equalization
frequency histogram
histogram specification
The histogram displayed the distribution of data.
The software can generate a histogram of the results.
Histograms are commonly used in statistics to represent data visually.
The histogram revealed a clear pattern in the data.
Researchers analyzed the histogram to draw conclusions about the population.
Students were asked to create a histogram based on the survey results.
The histogram showed a peak in the middle of the distribution.
Understanding how to interpret a histogram is an important skill in data analysis.
The histogram provided a visual representation of the data set.
A histogram can help identify outliers in a data set.
I need to figure out how to use a histogram of oriented gradients to detect a face.
It's essentially like a histogram or a bar chart.
The authors propose thinking in terms of histograms, which means that the output image should rely on statistical similarities with the source images.
Now there are a couple of techniques that exist to detect edges, but we are going to use a histogram of oriented gradients, or an HOG.
histogram equalization
frequency histogram
histogram specification
The histogram displayed the distribution of data.
The software can generate a histogram of the results.
Histograms are commonly used in statistics to represent data visually.
The histogram revealed a clear pattern in the data.
Researchers analyzed the histogram to draw conclusions about the population.
Students were asked to create a histogram based on the survey results.
The histogram showed a peak in the middle of the distribution.
Understanding how to interpret a histogram is an important skill in data analysis.
The histogram provided a visual representation of the data set.
A histogram can help identify outliers in a data set.
I need to figure out how to use a histogram of oriented gradients to detect a face.
It's essentially like a histogram or a bar chart.
The authors propose thinking in terms of histograms, which means that the output image should rely on statistical similarities with the source images.
Now there are a couple of techniques that exist to detect edges, but we are going to use a histogram of oriented gradients, or an HOG.
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