Abstract
A stretchy classification methodology adopting multivariate polynomials is proposed in this paper. Through minimization of an approximated p-norm of the parameter vector subject to classification error constraints, an approximated minimum norm solution in dual form is derived for under-determined systems. This is subsequently transformed into its primal form for over-determined systems. Practical feasibility of the proposed solution is illustrated by an evaluation on synthetic data as well as an application on benchmark real-world data.
Original language | English |
---|---|
Title of host publication | 2015 IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781479980550 |
DOIs | |
Publication status | Published - 2015 May 13 |
Event | 10th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015 - Singapore, Singapore Duration: 2015 Apr 7 → 2015 Apr 9 |
Publication series
Name | 2015 IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015 |
---|
Other
Other | 10th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015 |
---|---|
Country/Territory | Singapore |
City | Singapore |
Period | 15/4/7 → 15/4/9 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Information Systems