首页|New Findings from Georgia Institute of Technology Describe Advances in Neural Computation (Learning Internal Representations of 3D Transformations From 2D Proje cted Inputs)
New Findings from Georgia Institute of Technology Describe Advances in Neural Computation (Learning Internal Representations of 3D Transformations From 2D Proje cted Inputs)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on neural computation is the subject of a new report. According to newsreporting originating from the Ge orgia Institute of Technology by NewsRx correspondents, research stated,“We des cribe a computational model for inferring 3D structure from the motion of projec ted 2D pointsin an image, with the aim of understanding how biological vision s ystems learn and internally represent3D transformations from the statistics of their input.”
Georgia Institute of TechnologyComputa tionNeural Computation
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