Talks and Poster Presentations (with Proceedings-Entry):
R. Pedersen, M. Schoeberl:
"An Embedded Support Vector Machine";
Talk: 4th Workshop on Intelligent Solutions in Embedded Systems - (WISES06),
Vienna, Austria;
2006-06-30; in: "Fourth International Workshop on Intelligent Solutions in Embedded Systems, Proceedings",
(2006),
ISBN: 3-902463-06-6;
79
- 89.
English abstract:
In this paper we work on the balance between hardware and software implementation of a machine learning algorithm, which belongs to the area of statistical learning theory. We use system-on-chip technology to demonstrate the potential usefulness of moving the critical sections of an algorithm into HW: the so-called hardware/software balance. Our experiments show that the approach can achieve speedups using a complex machine learning algorithm called a support vector machine. The experiments are conducted on a real-time Java Virtual Machine named Java Optimized Processor.
Online library catalogue of the TU Vienna:
http://aleph.ub.tuwien.ac.at/F?base=tuw01&func=find-c&ccl_term=AC06586980