Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4770
Title: Large margin classifications and their applications in computer vision
Authors: Li, Xuchun
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2007
Source: Li, X. (2007). Large margin classifications and their applications in computer vision. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: 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.
URI: https://hdl.handle.net/10356/4770
DOI: 10.32657/10356/4770
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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