Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/69073
Title: Ensemble classification and its application to visual tracking
Authors: Zhang, Le
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2016
Source: Zhang, L. (2016). Ensemble classification and its application to visual tracking. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: In machine learning and statistics, ensemble methods employ multiple models to obtain better performance than that could be obtained from any of the constituent (base) models [1]. Many studies have been published, both theoretical and empirical, which demonstrate the advantages of ensemble methods for classification.
URI: https://hdl.handle.net/10356/69073
DOI: 10.32657/10356/69073
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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