Author :
Poggio, Tomaso ; Beymer, David
Author_Institution :
Center for Biol. & Comput. Learning, MIT, USA
fDate :
5/1/1996 12:00:00 AM
Abstract :
The mind cannot make sense of the visual world out of raw image data alone. In an approach to visual processing known as learning from examples, computational neural networks and physiological studies suggest how neurons and machines adapt to novel images on the basis of past experience
Keywords :
computer vision; learning by example; neural nets; neurophysiology; visual perception; adaption to novel images; computational neural networks; learning from examples; learning to see; making sense of visual world; mind; past experience; physiological studies; raw image data; visual processing approach; Cells (biology); Character recognition; Cloud computing; Computer interfaces; Computer vision; Face recognition; Image recognition; Machine learning; Pattern recognition; Time sharing computer systems;
Journal_Title :
Spectrum, IEEE
