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Pattern Recognition is a novel by science fiction writer William Gibson published in 2003. Set in August and September 2002, the story follows Cayce Pollard , a 32-year-old marketing consultant who has a psychological sensitivity to corporate symbols.
Aged 32 during the events of Pattern Recognition, Cayce lives in New York City.Though named by her parents after Edgar Cayce, she pronounces her given name "Case". [4] She is a freelance marketing consultant, a coolhunter with an unusual intuitive sensitivity for branding, [5] manifested primarily in her physical aversion to particular logos and corporate mascots. [6]
Semantic memory, which is used implicitly and subconsciously, is the main type of memory involved in recognition. [2] Pattern recognition is crucial not only to humans, but also to other animals. Even koalas, which possess less-developed thinking abilities, use pattern recognition to find and consume eucalyptus leaves. The human brain has ...
FaceNet is a facial recognition system developed by Florian Schroff, Dmitry Kalenichenko and James Philbina, a group of researchers affiliated with Google.The system was first presented at the 2015 IEEE Conference on Computer Vision and Pattern Recognition. [1]
Rosalind Wright Picard (born May 17, 1962) [1] is an American scholar and inventor who is Professor of Media Arts and Sciences at MIT, founder and director of the Affective Computing Research Group at the MIT Media Lab, and co-founder of the startups Affectiva [2] and Empatica.
Bruce & Young Model of Face Recognition, 1986. One of the most widely accepted theories of face perception argues that understanding faces involves several stages: [7] from basic perceptual manipulations on the sensory information to derive details about the person (such as age, gender or attractiveness), to being able to recall meaningful details such as their name and any relevant past ...
Leonard Uhr (1927 – October 5, 2000) was an American computer scientist and a pioneer in computer vision, pattern recognition, machine learning and cognitive science.He was an expert in many aspects of human neurophysiology and perception, and a central theme of his research was to design artificial intelligence systems based on his understanding of how the human brain works.
Adaptive resonance theory (ART) is a theory developed by Stephen Grossberg and Gail Carpenter on aspects of how the brain processes information.It describes a number of artificial neural network models which use supervised and unsupervised learning methods, and address problems such as pattern recognition and prediction.