A Concept Learning Approach to Multisensory Object Perception

23 Sep 2014Ifeoma NwoguGoker ErdoganIlker YildirimRobert Jacobs

This paper presents a computational model of concept learning using Bayesian inference for a grammatically structured hypothesis space, and test the model on multisensory (visual and haptics) recognition of 3D objects. The study is performed on a set of artificially generated 3D objects known as fribbles, which are complex, multipart objects with categorical structures... (read more)

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