@inproceedings{fc2fc27939a94e7ebb7cce60b0932a28,
title = "Combining expert strategies in multimodal classification",
abstract = "In multimodal classification, we look for a set of strategies for mining and exploiting the most informative modalities for a given situation. These strategies are computations performed by the algorithms. In this paper, we propose to consider strategies as advice given to an algorithm by {"}expert.{"} There can be several classification strategies. Each strategy makes different assumptions regarding the fidelity of a sensor modality and uses different data to arrive at its estimates. Each strategy may place different trust in a sensor at different times, and each may be better in different situations. In this paper, we introduce a novel algorithm for combining expert strategies to achieve robust classification performance in a multimodal setting. We provide experimental results using real world examples to demonstrate the efficacy of the proposed algorithm.",
keywords = "Classification, Data fusion, Machine learning",
author = "Jing Peng",
year = "2014",
month = jan,
day = "1",
doi = "10.4028/www.scientific.net/AMM.590.693",
language = "English",
isbn = "9783038351511",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd",
pages = "693--697",
booktitle = "Innovative Solutions in the Field of Engineering Sciences",
note = "null ; Conference date: 20-05-2014 Through 21-05-2014",
}