When designing product behavior, the designer often needs to communicate to experts in computer software and protocols. In present-day software engineering, formal specification m...
Jun Hu, Philip Ross, Loe M. G. Feijs, Yuechen Qian
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
This is the sample implementation of a Markov random field based color image segmentation algorithm described in the following paper:
Zoltan Kato, Ting Chuen Pong, and John Chu...
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
With the increase of computer capabilities, many learning systems have become complex simulators with advanced interfaces close to game quality. However, many games features have n...