Inductive Learning Spatial Attention
We call inductive learning spatial attention the process whereby a computer vision system automatically induces the focus of attention from the visual observation of patterns in space. In their most basic form, these patterns of space are formed by colored blocks that are stacked in order to create repetitive sequences of colors. The observation of such patterns is fed into an inductive logic programming system that generates a model of expectancy about the next block to be placed in the sequence.
- Hartshorne, C., Weiss, P., & Burks, A. W. (Eds.). (1956). Collected papers of Charles Sanders Peirce (Vol. 8). Cambridge, MA: Harvard University Press.Google Scholar
- Muggleton, S. (1996). Learning from positive data. In S. Muggleton (Ed.), ILP96, Vol. 1314 of Lecture Notes of artificial Intelligence, SV (pp. 358–376).Google Scholar
- Santos, P. E., Magee, D., Cohn, A. G., & Hogg, D. (2004). Combining multiple answers for learning mathematical structures from visual observation, Proceedings of the European conference on artificial intelligence (ECAI-04), Valencia, Sp.Google Scholar
- Santos, P. E., Needham, C., & Magee, D. (2008). Inductive learning spatial attention. Sba Controle & Automação (Vol.19, No. 3, pp. 316–326). ISSN: 0103-1759. doi:10.1590/S0103-17592008000300007.Google Scholar
- Tsotsos, J., Mylopoulos, J., Covvey, H. D., & Zucker, S. W. (1980). A framework forvisual motion understanding. IEEE Pattern Analysis and Machine Intelligence, pages 563–573. Special Issue on Computer Analysis of Time-Varying Imagery.Google Scholar