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New Object Recognition Algorithm Learns On the Fly

Posted by samzenpus on from the we'll-do-it-live dept.

Zothecula writes "Scientists at Brigham Young University (BYU) have developed an algorithm that can accurately identify objects in images or videos and can learn to recognize new objects on its own. Although other object recognition systems exist, the Evolution-Constructed Features algorithm is notable in that it decides for itself what features of an object are significant for identifying the object and is able to learn new objects without human intervention."

2 of 100 comments (clear)

  1. Re:I could be wrong... by durrr · · Score: 4, Interesting

    The way I understand it is that it identifies recurrent features and learns them. Meaning that giving it a huge image library with no labels would mean it can recognize say, roses, but it would call them "object 193131", not "rose".

  2. *Sigh* by Wootery · · Score: 3, Interesting

    notable in that it decides for itself what features of an object are significant for identifying the object and is able to learn new objects without human intervention

    For Christ's sake. The AdaBoost face-detection algorithm - the one that everyone uses today - does precisely this, and was developed in the the 90's.