Title :
Automatic evaluation of adaptive algorithms over the Internet
Author :
Lucas, Simon ; Beattie, Paul ; Coy, Joanne
Author_Institution :
Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
Abstract :
We describe a system for the automatic evaluation of adaptive algorithms over the Internet. We motivate our discussion by setting up a system to evaluate region of interest finding algorithms. This is a signal processing/pattern recognition problem that occurs in many different application domains, and for which neural network solutions have been proposed as highly flexible and trainable solutions. However, we are not aware of any comprehensive empirical studies identifying the strengths and weaknesses of each method. The system we describe is able to automate such a study, and has the potential to be of great benefit to algorithm developers and the research community as a whole
Keywords :
Internet; image recognition; neural nets; pattern recognition; software performance evaluation; Internet; adaptive algorithm evaluation; neural network; pattern recognition; performance evaluation; region of interest finding; signal processing; Adaptive algorithm; Adaptive signal processing; Databases; Information retrieval; Internet; Neural networks; Pattern recognition; Performance evaluation; Signal processing algorithms; Systems engineering and theory;
Conference_Titel :
Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6278-0
DOI :
10.1109/NNSP.2000.890169