relation: http://www.eledia.org/students-reports/571/
title: Kernels Evaluation of Svm-Based Estimators for Inverse Scattering Problems
creator: Bermani, Emanuela
creator: Boni, Andrea
creator: Kerhet, Aliaksei
creator: Massa, Andrea
subject: TU Technical Reports and Publications
description: Buried object detection by means of microwave-based sensing techniques is faced in biomedical imaging, mine detection etc. Whereas conventional methods used for such a problem consist in solving nonlinear integral equations, this work considers a recently proposed approach based on Support Vector Machines, the techniques that proved to be theoretically justi?ed and effective in real world domains. Simulation is carried out on synthetic data generated by Finite Element code and a PML technique; noisy environments are considered as well. Results obtained for cases of polynomial and Gaussian kernels are presented and discussed.
date: 2004
type: Technical Report
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/571/1/report_with_copertina.pdf
identifier:   Bermani, Emanuela and Boni, Andrea and Kerhet, Aliaksei and Massa, Andrea  (2004) Kernels Evaluation of Svm-Based Estimators for Inverse Scattering Problems.  [Technical Report]