a faster recognition

USAGE SUMMARY

The phrase "a faster recognition" is correct and usable in written English.
It can be used when discussing the speed at which something is recognized or identified, often in contexts related to technology, learning, or cognitive processes. Example: "The new software update allows for a faster recognition of user commands, improving overall efficiency."

✓ Grammatically correct

Signal Processing: Image Communication

TechCrunch

Environmental Health Perspectives

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

Furthermore, integrating the dither noise in our coder allows a faster recognition of the fine details of the image during the decoding process.

Signal Processing: Image Communication

It's also worth noting that there's a "Faster recognition" setting hidden behind a few menus (including the ominous message "Your face has been registered").

TechCrunch

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

This paper proposes a fast recognition method based on generalized similarity measure (GSM).

IPSJ Transactions on Computer Vision and Applications

In this paper, we proposed a fast recognition method based on the GSM.

IPSJ Transactions on Computer Vision and Applications

The application of CCV model on discretized data allows a fast recognition of operational speeds inconsistencies.

Procedia - Social and Behavioral Sciences

Moreover, a method for selecting only a small subset of relevant wavelength ratios is suggested, allowing the conduct of a fast recognition of the two classes of materials.

Waste Management

In order to encounter these factors and ensure a high recognition rate and a fast recognition time, we have used, in this article, the fractal representation which exploits the inter-image resemblance [9].

EURASIP Journal on Information Security

Moreover, 45 bases ODN with heterologies placed at an intermediate position is the best compromise between a fast recognition time and good stability.

Plosone

Our results point to a fast recognition mechanism based on low frequency contents that fits with Bar's framework, although our use of equalized scenes makes it unlikely that a simple categorization rule could be used.

Plosone

We observe a fast recognition phase; the complex is then globally stable, but continuously undergoes small local fluctuations, the number of correctly paired bases fluctuating between 25 and 19 bases.

Plosone

The main benefit of the color coding is a fast recognition of spectral variations across the image.

Biomedical Optics Express

Expert writing Tips

Best practice

When discussing improvements in software or technology, use "a faster recognition" to highlight enhanced speed in processing data or user input. For example: "The new facial recognition software offers "a faster recognition" of faces, improving security access."

Common error

Avoid using "a faster recognition" when describing general understanding or comprehension that is not directly related to speed. Instead, opt for phrases like "a deeper understanding" or "a clearer grasp" when focusing on the quality of understanding rather than the pace.

Linguistic Context

The phrase "a faster recognition" functions as a noun phrase where "faster" modifies the noun "recognition". It refers to the improved speed at which something is identified or acknowledged. Ludwig AI confirms its usability in English.

Expression frequency: Rare

Frequent in

Science

33%

News & Media

33%

Formal & Business

17%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "a faster recognition" is a grammatically correct phrase used to describe the increased speed at which something is identified or acknowledged. Ludwig AI confirms that the expression is usable and correct. It is most commonly found in scientific, news, and formal contexts, highlighting improvements and efficiencies in processes or systems. While not exceptionally common, the phrase is appropriate when emphasizing the speed of identification, but care should be taken to ensure its use aligns with the intended context, avoiding its application when describing understanding or comprehension that isn't directly tied to speed.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

quicker identification

Focuses on the speed of identifying something, similar to recognizing it faster.

speedier acknowledgment

Highlights the rapid acknowledgment or acceptance of something.

accelerated detection

Emphasizes a faster process of finding or noticing something.

rapid identification

Similar to 'quicker identification' but emphasizes rapidity.

swifter perception

Highlights a faster or more immediate understanding or awareness.

more timely discovery

Focuses on discovering something sooner rather than later.

expedited recognition

Emphasizes the acceleration of the recognition process.

enhanced awareness

Highlights an improved state of being conscious or knowing something more quickly.

improved diagnostic speed

Focuses on the increased speed of making a diagnosis.

earlier realization

Stresses the concept of understanding or becoming aware at an earlier point.

FAQs

How can I use "a faster recognition" in a sentence?

You might say, "The software update allows for "a faster recognition" of facial features" or "Early intervention can lead to "a faster recognition" of symptoms".

What are some alternatives to "a faster recognition"?

Alternatives include "quicker identification", "speedier acknowledgment", or "accelerated detection", depending on the context.

Is it always better to aim for "a faster recognition"?

Not necessarily. While speed is often desirable, accuracy and thoroughness are also important. Sometimes, "a slower but more accurate recognition" is preferable to "a faster but less accurate recognition".

In what fields is "a faster recognition" particularly valuable?

A faster recognition is highly valuable in fields such as computer science (e.g. facial recognition software), medicine (e.g. early diagnosis), and security (e.g. threat detection).