Large margin classifications and their applications in computer vision
The concept of large margin classification is used as a principle for analyzing many different algorithms, such as Support Vector Machine (SVM) and Boosting. Here it is the margin instead of raw training error that is used in designing classifiers.
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sg-ntu-dr.10356-47702023-07-04T16:59:35Z Large margin classifications and their applications in computer vision Li, Xuchun Sung, Eric School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision The concept of large margin classification is used as a principle for analyzing many different algorithms, such as Support Vector Machine (SVM) and Boosting. Here it is the margin instead of raw training error that is used in designing classifiers. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:58:09Z 2008-09-17T09:58:09Z 2007 2007 Thesis Li, X. (2007). Large margin classifications and their applications in computer vision. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/4770 10.32657/10356/4770 Nanyang Technological University application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
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NTU Library |
| collection |
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| topic |
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Li, Xuchun Large margin classifications and their applications in computer vision |
| description |
The concept of large margin classification is used as a principle for analyzing many different algorithms, such as Support Vector Machine (SVM) and Boosting. Here it is the margin instead of raw training error that is used in designing classifiers. |
| author2 |
Sung, Eric |
| author_facet |
Sung, Eric Li, Xuchun |
| format |
Theses and Dissertations |
| author |
Li, Xuchun |
| author_sort |
Li, Xuchun |
| title |
Large margin classifications and their applications in computer vision |
| title_short |
Large margin classifications and their applications in computer vision |
| title_full |
Large margin classifications and their applications in computer vision |
| title_fullStr |
Large margin classifications and their applications in computer vision |
| title_full_unstemmed |
Large margin classifications and their applications in computer vision |
| title_sort |
large margin classifications and their applications in computer vision |
| publishDate |
2008 |
| url |
https://hdl.handle.net/10356/4770 |
| _version_ |
1772828695491248128 |