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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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for faster recognition

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "for faster recognition" is correct and usable in written English.
You can use it when discussing methods or strategies that enhance the speed at which something is identified or understood. Example: "The new software update includes features designed for faster recognition of user commands."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

However, the ability for minimally invasive samples to be sequenced repeatedly over time will allow for faster recognition of known resistance mutations.

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Figure 6 Screen form of the PH network application for fast recognition of laser beam spot images.

Four routes, each containing 100 frames, were used in the experimental research of the parallel hierarchical transformation for fast recognition of LBS images.

Application of the masking method of information processing for fast recognition of LBS images [22] indicates a need to improve a method of the parallel hierarchical transformation.

A general algorithm for fast recognition of LBS images can be developed based on the suggested method of the parallel hierarchical transformation for processing dynamic images (Figure 3): Figure 3 The general algorithm for recognition of images of LBSs.

The paper consists of the following parts: Description of parallel-hierarchical transformation algorithms, software modeling and efficiency of the PH transformation, experimental results and physical modeling of the PH transformation for fast recognition of LBS images, and conclusions.

A goal of this paper is to develop and apply the suggested method and means of parallel hierarchical transformation for fast recognition of dynamic images, namely, those of LBSs.

The last article regarding this first topic is entitled 'Modeling of a method of parallel hierarchical transformation for fast recognition of dynamic images' [13] by Leonid Timchenko et al.; the authors present principles necessary to develop a method, and computational facilities for the parallel hierarchical transformation based on high-performance GPUs are discussed in the paper.

To realize a parallel hierarchical transformation for fast recognition of LBS images, an average value a ¯ i t should be selected from the available digital information and rounded to the closest integer; then, two connected PH networks should be formed to process positive and negative difference components.

Lastly, holistic recognition of words by their shape, "W", once seemed a promising visual account for fast recognition of words, supported by evidence from the Word Superiority Effect (but see ref. 7), and motivated the whole-word method, which had children memorize and read the same few "sight words" over and over.

Science

Plosone

For example, terms are capitalized for aesthetic reasons and faster recognition.

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Expert writing Tips

Best practice

When aiming for clarity, explicitly state what benefits from "for faster recognition". For instance, specify if it's "for faster facial recognition" or "for faster recognition of symptoms".

Common error

Avoid using "for faster recognition" without context. Saying "we need it for faster recognition" is vague. Instead, specify the subject, like "we need this software for faster image recognition".

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "for faster recognition" acts as an adverbial phrase of purpose, indicating the reason or aim behind an action or process. It modifies a verb or clause to explain why something is done, as seen in Ludwig's examples.

Expression frequency: Uncommon

Frequent in

Science

30%

News & Media

20%

Formal & Business

15%

Less common in

Wiki

10%

Encyclopedias

10%

Social Media

5%

Ludwig's WRAP-UP

The phrase "for faster recognition" serves to express the purpose of accelerating the identification or understanding of something. As Ludwig AI indicates, it is grammatically correct and usable in diverse contexts, ranging from scientific research to news reports. While synonyms like "for quicker identification" and "to expedite recognition" offer alternative phrasing, it's crucial to provide specific context for clarity. By avoiding overgeneralization and explicitly stating what benefits from increased speed, you can effectively convey the intended purpose and ensure clear communication. The phrase has neutral formality, making it adequate for different purposes, and it's mostly common in Science and News contexts.

FAQs

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

You can use "for faster recognition" to indicate the purpose of improving the speed of identifying or acknowledging something. For example, "The new algorithm is designed "for faster recognition" of patterns in data".

What are some alternatives to "for faster recognition"?

Alternatives include "to accelerate recognition", "to expedite recognition", or "for quicker identification" depending on the context.

Which is correct, "for faster recognition" or "for fast recognition"?

Both "for faster recognition" and "for fast recognition" are grammatically acceptable. However, "for faster recognition" implies a comparison or improvement in speed, while "for fast recognition" simply indicates that speed is a characteristic.

What does "for faster recognition" mean in the context of machine learning?

In machine learning, "for faster recognition" often refers to optimizing algorithms and models to reduce the time it takes to identify or classify data, such as images or speech. This can be achieved through techniques like dimensionality reduction or using more efficient data structures.

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Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: