Title :
On the development of visual object memory: the stay/go decision problem
Author :
Morrison, Clayton T. ; Cohen, Paul R. ; Sebastiani, Paola
Author_Institution :
Comput. Sci., Massachusetts Univ., Amherst, MA, USA
Abstract :
A developing memory requires a mechanism for deciding how much information to gather, based on what is currently represented in memory. That is, we need to know when we have seen enough to say we have or have not seen this before, or that we need to continue collecting data. We present a statistical approach to this decision mechanism. This serves as the foundation for a simple visual object memory. We present results from simulations showing that the statistical measure can serve as the basis of the stay/go decision process.
Keywords :
learning (artificial intelligence); mobile robots; object recognition; robot vision; statistical analysis; decision mechanism; developing memory; statistical approach; stay/go decision problem; visual object memory; Cameras; Cascading style sheets; Computer science; Image retrieval; Mathematics; Orbital robotics; Robot kinematics; Robot vision systems; Smoothing methods; Statistics;
Conference_Titel :
Development and Learning, 2002. Proceedings. The 2nd International Conference on
Print_ISBN :
0-7695-1459-6
DOI :
10.1109/DEVLRN.2002.1011888