Engineering Commons^™

Support Vector Selection And Adaptation For Classification Of Remote Sensing Images, Gulsen Taskin Kaya, Okan Ersoy

Department of Electrical and Computer Engineering Technical Reports

Classification of nonlinearly separable data by nonlinear support vector machines is often a difficult task especially due to the necessity of a choosing a convenient kernel type. In this study, we propose a new classification method called support vector selection and adaptation (SVSA) that is applicable to both linearly and nonlinearly separable data in terms of some reference vectors generated by processing of support vectors obtained from the linear SVM. The method consists of two steps called selection and adaptation. In these two steps, once the support vectors are obtained by a linear SVM, some of them are rejected and …

Multiobjective Design Of Service Routes, J. R. Wright, Jin-Yuan Wang

JTRP Technical Reports

The purpose of this research has been the design of a computer-based decision support system for use in the design of service routes on the Indiana intrastate highway system. The following work has been completed for this purpose:

1) Acquisition of a 1:100,000 scale DLG data representation of the entire state transportation network.

2) Reclassification of those data with the aid of a computer-based interactive data filter and participation by DOT maintenance personnel from 6 districts.

3) Development of several route design algorithm components designed specifically for addressing the problem of routing snow and ice control vehicles for INDOT.

4) …