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Alina Zare – Machine Learning and Sensing Lab

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January 27, 2016 in News

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Addressing the Inevitable Imprecision: Multiple Instance Learning for Hyperspectral Image Analysis
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anomaly detection band selection choquet integral classification clustering cluster validity deep convolutional neural networks deep learning endmember endmember variability fusion graduation ground penetrating radar hyperspectral image processing internship landmine lidar machine learning metal detector minirhizotron multiple instance NEON new student new students nonlinear mixing phd phenotyping plants radar remote sensing roots segmentation smart grid sparsity promotion spatial superpixel synthetic aperture sonar target detection tree crown trees uncertain/imprecise labels undergraduate research unmixing welcome

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