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The new algorithm, written by Sachin Farfade, Mohammad Saberian, and Li-Jia Li, relies on advances in a type of machine learning called deep convolutional neural network.
The winning algorithm likely will strike that balance between speed and volume. Deep learning could be a key to help identify that sweet spot. “That has been the turbocharger in face recognition,” ...
The team has taken a fundamentally different approach to its predecessors, employing an advanced type of machine learning known as a deep convolutional neural network.
Back in 2001, two computer scientists, Paul Viola and Michael Jones, triggered a revolution in the field of computer face detection. After years of stagnation, their breakthrough was an algorithm ...
In most discussions, deep learning means using deep neural networks. There are, however, a few algorithms that implement deep learning using other kinds of hidden layers besides neural networks.
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