occluded data

USAGE SUMMARY

The phrase "occluded data" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or any field where data may be hidden or obscured. Example: "The researchers faced challenges in interpreting the results due to the presence of occluded data that was not readily visible."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

3 human-written examples

To address this issue, we introduce visibility widgets: compact auxiliary views that visualize occluded data, their locations, and related properties, and thus support users in revealing hidden information.

Journal of Visual Languages & Computing

Image registration is a significant and challenging subject which usually involves high storage requirements, high CPU costs and mostly deals with noisy, distorted, and occluded data.

Advances in Difference Equations

That tension negates the fact that the NSA claims to have not known; if we can't be sure of its own methods for determining what is to be disclosed and what not, at least in the abstract, any single case is simply an occluded data point with no axes to measure from.

TechCrunch

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

This method shows the selected area in a clear way, but it also partially occludes displayed data underneath.

Computer Graphics Forum

We subjected these artificial datasets to our inferential machinery with fully characterised artificial species, and with 50% of data occluded in order to replicate the proportion of missing data from our C3 C4 dataset.

eLife

A weak classifier is occluded when the data window of the weak classifier has hit an occluded part of the face.

EURASIP Journal on Image and Video Processing

We subjected these datasets to our inferential machinery with all data intact, and with 50% of data points occluded, to determine the sensitivity and robustness of our approach.

eLife

Our approach clearly assigned equal acquisition probabilities to traits whose timing was linked in the underlying dataset, even when 50% of the data was occluded.

eLife

For luminal contents score, a pathologist assigned each animal a single score in a blinded manner on a scale of 0 10, with 0 representing no luminal contents on average and 10 representing virtually all ducts completely occluded by inspissated, eosinophilic contents; data are presented as the mean score of each genotype.

CMGH Cellular and Molecular Gastroenterology and Hepatology

The system involves a gas chromatographic separation of 18 occluded solvents followed by fully automatic data analysis and transfer to a PHP/MySQL database.

Forensic Science International

In the proposed solution, multiple training is avoided (only one classifier is used) and occluded weak classifiers are considered as missing data.

EURASIP Journal on Image and Video Processing

Expert writing Tips

Best practice

When discussing "occluded data", clarify the mechanism or reason for the occlusion. For example, specify whether the data is missing due to technical limitations, intentional masking, or natural phenomena.

Common error

Avoid automatically assuming that "occluded data" is a problem. In some cases, occlusion is a deliberate technique for data security or privacy. Acknowledge the potential purpose behind it.

Linguistic Context

The phrase "occluded data" functions primarily as a noun phrase, where "occluded" acts as an adjective describing the type of data. Ludwig's examples showcase its use in various scientific and technical contexts.

Expression frequency: Rare

Frequent in

Science

60%

News & Media

20%

Formal & Business

20%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "occluded data" is a noun phrase used to describe data that is hidden, obscured, or partially blocked. Ludwig AI indicates that it is grammatically correct and commonly used in scientific and technical contexts. While its frequency is relatively rare, understanding its meaning and usage is crucial for anyone working with data analysis, image processing, or research. When using the phrase, ensure clarity by specifying the cause or mechanism of the occlusion. Remember that occlusion isn't always negative; it can sometimes serve a purpose, such as protecting sensitive information. By mastering the nuances of "occluded data", you can communicate more effectively and precisely in your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

hidden data

Focuses on the state of being concealed or not readily visible.

obscured data

Emphasizes the data being unclear or difficult to perceive due to some obstruction.

missing data

Highlights the absence of data points.

incomplete data

Indicates that the data set lacks some elements.

masked data

Suggests a deliberate covering or hiding of data.

concealed data

Implies that the data is intentionally kept secret or hidden.

shadowed data

Highlights that some data is behind other data.

covered data

Indicates that data has been placed under something.

unavailable data

Describes the state of not being able to access data.

unrevealed data

Focuses on the fact that data has not been exposed yet.

FAQs

How can I use "occluded data" in a sentence?

You might say, "The algorithm struggled to analyze the image due to the presence of "occluded data" caused by shadows" or "Researchers developed a new method to estimate values from "occluded data" in satellite images."

What's the difference between "occluded data" and "missing data"?

"Occluded data" refers to data that is hidden or obscured, while "missing data" simply indicates the absence of data points. Occlusion suggests a reason for the absence, while missing data may be random or unexplained.

Which is more appropriate, "occluded data" or "hidden data"?

Both ""occluded data"" and "hidden data" can be appropriate, but ""occluded data"" often implies a specific mechanism or reason for the data being obscured (e.g., shadows, physical barriers), whereas "hidden data" is more general.

What are some alternatives to "occluded data"?

Depending on the context, you can use alternatives like "obscured data", "masked data", or "incomplete data" instead of ""occluded data"".