In conventional computer vision systems symbol grounding is invariably established via supervised learning. We investigate unsupervised symbol grounding mechanisms that rely on perception action coupling1. The mechanisms involve unsupervised clustering of observed actions and percepts. Their association gives rise to behaviours that emulate human action. The capability of the system is demonstrated on the problem of mimicking shape puzzle solving. It is argued that the same mechanisms support unsupervised cognitive bootstrapping in cognitive vision. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Bowden, R., Ellis, L., Kittler, J., Shevchenko, M., & Windridge, D. (2005). Unsupervised symbol grounding and cognitive bootstrapping in cognitive vision. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3617 LNCS, pp. 27–36). Springer Verlag. https://doi.org/10.1007/11553595_4
Mendeley helps you to discover research relevant for your work.