Examples of using Recognition algorithms in English and their translations into Indonesian
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
-
Ecclesiastic
Probably using facial recognition algorithms.
Google's image recognition algorithms were trained to recognize how to spot solar arrays in satellite images.
The resulting“headshot image” can be analyzed by all facial recognition algorithms.
Siri uses voice recognition algorithms to categorize your voice into one of the dialects or accents it understands.
Initially, questionable adult content in the video section ofOmegle was filtered using image recognition algorithms only.
People also translate
It says that“Siri uses voice recognition algorithms to categorize your voice into one of the dialects or accents it understands.”.
The approach developed by ARL preserves identity information to enhance discriminability, for example,increased recognition accuracy for both automatic face recognition algorithms and human adjudication.
With the use of the front-facing camera, facial recognition algorithms have been integrated to examine the emotional reactions of the child.
Object recognition algorithms made 10% more errors when asked to identify items from a household with a $50 monthly income compared to those from a household making more than $3,500.
Technology like this then allowslaw enforcement agencies to adopt face recognition algorithms and apply them in public spaces with fewer possible interruptions.
Visual recognition algorithms can unlock the potential of digital image collections by tagging, sorting, and drawing connections within and between museum databases.
Me now: ponders how all this datacould be mined to train facial recognition algorithms on age progression and age recognition," she wrote.
Object recognition algorithms sold by tech companies, including Google, Microsoft, and Amazon, perform worse when asked to identify items from lower-income countries.
One of the most well-knownexamples of AI bias is with facial recognition algorithms, which regularly perform worse when identifying female faces, particularly women of color.
Recognition algorithms should be divided into 2 main approaches, geometric, which examines distinguishing features, or photometric, the statistical approach that distills a picture into values and compares the values with templates to eliminate variances.
Following fast-moving objects can be very challenging,but advanced image recognition algorithms used by the P4P V2.0 allow it to recognize and track the object while keeping it in frame.
Recognition algorithms can be divided into two main approaches, geometric, which looks at distinguishing features, or photometric, which is a statistical approach that distils an image into values and compares the values with templates to eliminate variances.
And, as The Atlantic story points out,other groups have found in the past that facial recognition algorithms developed in Asia were more likely to accurately identify Asian people than white people;
NNTC boasts that its facial recognition algorithms are in the top three for accuracy in the US government's Face Recognition Vendor Test, able to detect up to 15 faces per frame per second, and capable of identifying an individual in less than a second.
Each set is equipped with bleeding edge optics and advanced facial recognition algorithms capable of pinpointing a single fugitive in even the most crowded of places: like a train station or airport.
A recent study suggested facial recognition algorithms are far less accurate at identifying black and Asian faces compared with white faces.
As military commanders come to see the object recognition algorithms as reliable, it will be tempting to attenuate or even remove human review and oversight for these systems.
As military commanders come to see the object recognition algorithms as reliable, it will be tempting to attenuate or even remove human review and oversight for these systems,” it said in the letter.
Another taps Rekognition's character recognition algorithms to detect words and phrases in images, extract them, and convert them into machine-readable text, which it organizes and collates in a searchable format.
As military commanders come to see the object recognition algorithms as reliable, it will be tempting to attenuate or even remove human review and oversight for these systems,” according to the letter.
Released a study that showed that three leading facial recognition algorithms were substantially worse at classifying darker faces than lighter faces, and worse at classifying women's faces than men's faces.
The researchers found that the object recognition algorithms made around 10 percent more errors when asked to identify items from a household with a $50 monthly income compared to those from a household making more than $3,500.
It has been reported that the NNTC facial recognition algorithms rank in the top three for accuracy in the US government's FaceRecognition Vendor Test and can detect up to 15 faces per frame per second, thereby enabling them to identify a specific individual in less than a second.