Publication: RGB-D Object recognition using deep convolutional neural networks
dc.contributor.advisor | Yemez, Yücel | |
dc.contributor.advisorid | 0000-0002-7515-3138 | |
dc.contributor.author | Zia, Saman | |
dc.contributor.institute | Koç University Graduate School of Sciences and Engineering | |
dc.contributor.program | Computer Science and Engineering | |
dc.contributor.yokid | 107907 | |
dc.date.accessioned | 2024-11-09T22:35:04Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/5649 | |
dc.language | English | |
dc.publisher | Koç University | |
dc.relation.collection | KU Theses and Dissertations | |
dc.rights | restrictedAccess | |
dc.rights.copyrightsnote | © All Rights Reserved. Accessible to Koç University Affiliated Users Only! | |
dc.subject | Neural networks (Computer science) | |
dc.subject | Computer vision | |
dc.subject | Image processing | |
dc.subject | Three-dimensional imaging | |
dc.subject | Pattern recognition systems | |
dc.subject | Computer vision | |
dc.thesis.degree | Master's Degree | |
dc.thesis.grantor | İstanbul | |
dc.title | RGB-D Object recognition using deep convolutional neural networks | |
dc.type | Thesis | |
dspace.entity.type | Publication | |
relation.isAdvisorOfThesis | 23c08ce5-6539-43b2-a2fa-ce7e80c2b52d | |
relation.isAdvisorOfThesis.latestForDiscovery | 23c08ce5-6539-43b2-a2fa-ce7e80c2b52d |
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