Sentence examples for recognition to recognize from inspiring English sources

PAL provides real-time memory assistance using personalized person recognition to recognize and remind people of people in their social circle.

We show for the first that that actor- and view-invariant representations for action arise in the human brain as early as 200 ms. We next extend a class of biologically inspired hierarchical computational models of object recognition to recognize actions from videos and explain the computations underlying our MEG findings.

Sound search uses speech recognition to recognize search terms in sound files, and is provided by Podscope.

The recorded audio and the spoken text are processed by speech recognition to recognize and temporally align the phonetic interpretation of the text to the recorded audio data.

In comparison, AALFI auditory interactions include speech recognition to recognize simple commands and speech synthesis to deliver messages and visual interactions through the use of textual messages, buttons and pictures.

We are using Computer Vision, which I think is the same technology that Facebook uses for facial recognition, to recognize the heatmaps sent by the mat into specific poses based on placement and balance.

While Microsoft called last week for government regulation of facial recognition technology, Facebook has been plowing ahead full steam in deploying its facial recognition algorithms to recognize every person on earth that it can legally and technically.

(3) Set up the recognition model of the mud pulse signal model similarity, and adopt the model similarity recognition algorithm to recognize the mud pulse signal of Manchester encode in the three bit cycle.

Integrating SIFT image recognition algorithm, AR technology and RTS game, the game focuses on using the proposed SIFT recognition technology to recognize pictures randomly taken by users.

Entity Recognition and Linking Given a piece of text and a knowledge base, the task of entity recognition aims to recognize the boundary of entity mentions in the text, and the task of entity linking is to map the entity mentions to the corresponding entities in the knowledge base.

The developed system in this work (nicknamed Quirubot) is equipped with a speech recognition module to recognize the requested surgical instrument; Quirubot locates this element on a storage tray using computer vision and pattern recognition and picks the element from the tray placing it on an interchange tray where the human scrub nurse can finally use this tool.