We found that the human error rate in recognition of individual handwritten digits is 2.37%. This differs somewhat from two prior studies , .
Assigning the development of a poker-playing agent as a group project allows flexibility with respect to the topics and techniques typically covered in an introductory Artificial Intelligence course. A poker agent project also provides students the experience of 'authentic' AI research, due to the status of poker as an 'unsolved' problem in AI. Despite this… (More)
We established human performance in recognition of handwritten ZIP codes taken from the standard CEDAR database. We expect that the result will serve as a benchmark for machine performance in recognition of handwritten ZIP codes.
When a figure is only partially visible and its contours represent a small fraction of total image contours (as when there is much background clutter), a fast contour classification mechanism may filter non-figure contours in order to restrict the size of the input to subsequent contour grouping mechanisms. The results of two psychophysical experiments… (More)