Large margin classifications and their applications in computer vision

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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Bibliographic Details
Main Author: Li, Xuchun
Other Authors: Sung, Eric
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/4770
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Institution: Nanyang Technological University
Description
Summary: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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