Original paper

Learning from Ambiguously Labeled Face Images

Volume: 40, Issue: 7, Pages: 1653 - 1667
Published: Jul 1, 2018
Abstract
Learning a classifier from ambiguously labeled face images is challenging since training images are not always explicitly-labeled. For instance, face images of two persons in a news photo are not explicitly labeled by their names in the caption. We propose a Matrix Completion for Ambiguity Resolution (MCar) method for predicting the actual labels from ambiguously labeled images. This step is followed by learning a standard supervised classifier...
Paper Details
Title
Learning from Ambiguously Labeled Face Images
Published Date
Jul 1, 2018
Volume
40
Issue
7
Pages
1653 - 1667
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