The mapping of image processing algorithms to hardware is complicated by several hardware constraints including limited processing time, limited access to data and limited resourc...
K. T. Gribbon, Donald G. Bailey, Christopher T. Jo...
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
We proposean approachfor modeling surfacedetails such as scales, feathers, or thorns. These types of cellular textures require a representation with more detail than texture-mappi...
Kurt W. Fleischer, David H. Laidlaw, Bena L. Curri...
This paper discusses our approach to building models and analyzing student behaviors in different versions of our learning by teaching environment where students learn by teaching ...
The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...