Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
This paper studies on the mirror image learning algorithm for the autoassociative neural networks and evaluates the performance by handwritten numeral recognition test. Each of th...
Analysis of allographs (characters) and allograph combinations (words) is the key for obtaining the discriminating elements of handwriting. While allographs usually inhabit in wor...
In this paper, we study the effects of manipulating the architected direction of conditional branches. Through the use of statistical sampling, we find that about 40% of all dyna...
We study the use of neural network algorithms in surface reconstruction from an unorganized point cloud, and meshing of an implicit surface. We found that for such applications, t...
Ioannis P. Ivrissimtzis, Won-Ki Jeong, Hans-Peter ...