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On the Optimality of Sequential Forward Feature Selection Using Class Separability Measure

Wang, Lei; Shen, Chunhua; Hartley, Richard


This paper studies sequential forward feature selection that uses the scatter-matrix-based class separability measure. We find that by adding a scale factor to each iteration of the conventional sequential selection, a sequential selection that guarantees the global optimum can be attained. We give a thorough theoretical proof of its optimality via a novel geometric interpretation, and this leads to a unified framework including the optimal sequential selection, the conventional sequential...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: A Novel Illumination-Invariant Loss for Monocular 3D Pose Estimation
DOI: 10.1109/DICTA.2011.41


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