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08/27/2020
Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale
In classification problems, the purpose of feature selection is to ident...
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02/07/2019
Bounds for the VC Dimension of 1NN Prototype Sets
In Statistical Learning, the Vapnik-Chervonenkis (VC) dimension is an im...
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04/19/2018
Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification
A natural way of handling imbalanced data is to attempt to equalise the ...
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12/19/2017
Bipartite Graph Matching for Keyframe Summary Evaluation
A keyframe summary, or "static storyboard", is a collection of frames fr...
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12/19/2017
