Facial pattern recognition
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Because of big data and machine learning technologies' emergence, a lot of data became available that was previously either deduced or speculated. This data, rooted in more credible sources, provided the means to use more complex methods of data analysis to gain value-added benefits for the business. In other words, now that we "knew more," we moved from the goal of getting information itself to analyzing and understanding the data that was already coming to us. Of all the tools used in Big Data , pattern recognition is in the center. It comprises the core of big data analytics - it gets the juice out of the data and uncovers the meanings hidden behind it.
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What Is Pattern Recognition and Why It Matters? Definitive Guide
Pattern recognition (psychology) - Wikipedia
When you look at a photo, you might see your best friend standing in front of her house. For example, a computer might be trained to recognize the common patterns of shapes and colors that make up a digital image of a landscape such as a beach or an object like a car. This technology helps Google Photos organize your photos and lets users find any photo with a simple search. A computer might also be trained to recognize the common patterns of shapes and colors that make up a digital image of a face. If you get a little more advanced, the same pattern recognition technology that powers face detection can help a computer to understand characteristics of the face it has detected. For example, there might be certain patterns that suggest a face is smiling or has its eyes closed. Similar technology also powers the face grouping feature available in Google Photos in certain countries, which helps computers detect similar faces and group them together, making it easier for users to search and manage their photos.
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In psychology and cognitive neuroscience , pattern recognition describes cognitive process that matches information from a stimulus with information retrieved from memory. Pattern recognition occurs when information from the environment is received and entered into short-term memory , causing automatic activation of a specific content of long-term memory. An early example of this is learning the alphabet in order. Recognizing patterns allows us to predict and expect what is coming.
Woody Bledsoe was sitting in a wheelchair in his open garage, waiting. To anyone who had seen him even a few months earlier—anyone accustomed to greeting him on Sundays at the local Mormon church, or to spotting him around town on his jogs—the year-old would have been all but unrecognizable. The healthy round cheeks he had maintained for much of his life were sunken. The degenerative disease ALS had taken away his ability to speak and walk, leaving him barely able to scratch out short messages on a portable whiteboard.
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