This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The propo...
A physically-based deformable model proposed by Terzopoulous et al. is governed by the Lagrange’s form, that establishes the relation between the dynamics of deformable models un...
This paper introduces a ¢¤£ discrete, non-separable transform for image processing, which can be regarded as a combination of the well known Discrete Cosine Transform (DCT) wit...
- This paper is concerned with the derivation of the kinematics model of the University of Tehran-Pole Climbing Robot (UT-PCR). As the first step, an appropriate set of coordinates...
The problem we address in this paper is that of finding effective and parsimonious patterns of connectivity in sparse associative memories. This problem must be addressed in real n...
Weiliang Chen, Reinoud Maex, Rod Adams, Volker Ste...