Mixture Model for Multiple Instance Regression and Applications in Remote Sensing

The multiple instance regression (MIR) problem arises when a data set is a collection of bags, where each bag contains multiple instances sharing the identical real-valued label. The goal is to train a regression model that can accurately predict label of an unlabeled bag. Many remote sensing applic...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2012-06, Vol.50 (6), p.2226-2237
Hauptverfasser:	Zhuang Wang, Liang Lan, Vucetic, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Aerosol retrieval Aerosols Agriculture Applied geophysics Earth sciences Earth, ocean, space Exact sciences and technology expectation maximization Internal geophysics mixture model Moderate Resolution Imaging Spectroradiometer (MODIS) Multi-angle Imaging SpectroRadiometer (MISR) multiple instance learning (MIL) multiple instance regression (MIR) neural networks Ocean temperature Prediction algorithms Predictive models Remote sensing
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