79446991 story Breakthrough In Automatic Handwritten Character Recognition Sans Deep Learning (technologyreview.com) 66 Posted by Soulskill on Wednesday December 16, 2015 @01:11AM from the bet-it-wouldn't-work-on-mine dept. subh_arya writes: Researchers from NYU, UToronto and MIT have come up with a technique that captures human learning abilities for a large class of simple visual concepts to recognize handwritten characters from World's Alphabet. Their computational model (abstract) represents concepts as simple programs that best explain observed examples under a Bayesian criterion. Unlike recent deep learning approaches that require thousands of examples to train an efficient model, their model can achieve human-level performance with only one example. Additionally, the authors present several "visual Turing tests" probing the model's creative generalization abilities, which in many cases are indistinguishable from human behavior.