Scalable, accurate image annotation with joint SVMs and output kernels

Abstract

This paper studies how joint training of multiple support vector machines (SVMs) can improve the effectiveness and efficiency of automatic image annotation. We cast image annotation as an output-related multi-task learning framework, with the prediction of each tag’s presence as one individual task. Evidently, these tasks are related via dependencies… (More)
DOI: 10.1016/j.neucom.2014.11.096

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