Reducing the Run-time Complexity of Support Vector Machine Used for Rail Candidates Detection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU118626" target="_blank" >RIV/00216305:26230/15:PU118626 - isvavai.cz</a>

Result on the web

<a href="http://www.vedeckekonference.cz/index.php?option=com_content&view=article&id=79&Itemid=66&lang=en" target="_blank" >http://www.vedeckekonference.cz/index.php?option=com_content&view=article&id=79&Itemid=66&lang=en</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Reducing the Run-time Complexity of Support Vector Machine Used for Rail Candidates Detection

Original language description

Support Vector Machine (SVM) is a technique for classification and regression. It uses a decision surface called hyperplane that depends on the regularization parameter and training points lying in the margin of the hyperplane. The run-time complexity of SVM may be reduced through the hyperplane affected by the regularization parameter. We deal with rails recognition in images taken from the camera mounted on the board of the locomotive. For the purpose of rail candidates detection, we deployed an algorithm using SVM. We performed several experiments under different settings. In this paper, we introduce an algorithm using SVM and the impact of its regulation parameter as well as others possible on SVM-performance. The main goal is to decrease time-complexity while maintaining classification success rate.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

International Masaryk conference for Ph.D. students and young researchers

ISBN

978-80-87952-12-2

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

2138-2146

Publisher name

Akademické sdružení MAGNANIMITAS Assn.

Place of publication

Hradec Králové

Event location

Hradec Králové

Event date

Dec 14, 2015

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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