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AMBIENTUM BIOETHICA BIOLOGIA CHEMIA DIGITALIA DRAMATICA EDUCATIO ARTIS GYMNAST. ENGINEERING EPHEMERIDES EUROPAEA GEOGRAPHIA GEOLOGIA HISTORIA HISTORIA ARTIUM INFORMATICA IURISPRUDENTIA MATHEMATICA MUSICA NEGOTIA OECONOMICA PHILOLOGIA PHILOSOPHIA PHYSICA POLITICA PSYCHOLOGIA-PAEDAGOGIA SOCIOLOGIA THEOLOGIA CATHOLICA THEOLOGIA CATHOLICA LATIN THEOLOGIA GR.-CATH. VARAD THEOLOGIA ORTHODOXA THEOLOGIA REF. TRANSYLVAN
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The STUDIA UNIVERSITATIS BABEŞ-BOLYAI issue article summary The summary of the selected article appears at the bottom of the page. In order to get back to the contents of the issue this article belongs to you have to access the link from the title. In order to see all the articles of the archive which have as author/co-author one of the authors mentioned below, you have to access the link from the author's name. |
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STUDIA INFORMATICA - Issue no. 4 / 2012 | |||||||
Article: |
HOW THE KERNELS CAN INFLUENCE IMAGE CLASSIFICATION PERFORMANCE. Authors: LAURA DIOŞAN, ALEXANDRINA ROGOZAN. |
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Abstract: Support Vector Machines deliver state-of-the-art performance in real-world applications and are now established as one of the standard tools for machine learning and data mining. A key problem of these methods is how to choose an optimal kernel and how to optimise its parameters. Selection of the most appropriate kernel highly depends on the problem at hand and fine tuning its parameters can easily become a tiresome and awkward task. Our purpose is to investigate how the used kernels and their parameters influence the learning performance in the context of a particular classification task: object recognition. The numerical results indicate that the best kernel function depends on the problem to be solved. Key words and phrases. Object recognition, Kernel descriptors, Support Vector Machines, Kernel selection. |
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