An Iterative Combination Scheme for multimodal visual feature detection

Abstract

We address the problem of multimodal visual feature detection where several individual heterogeneous measures (i.e., feature detectors) are merged into a single saliency value. A newapproach, the Iterative Combination Scheme, is proposed to iteratively learn a classifier that infers a non-linear model to combine different feature detectors. We evaluate and… (More)
DOI: 10.1109/ICIP.2012.6466806

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