Detection Potential of Multi-Features Representation of E-Nose Data in Classification of Moldy Maize Samples
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DOI: 10.1007/s11947-017-1993-1
Abstract: In order to assess rapidly and timely the moldy degree of maize samples using electronic nose (E-nose) and improve the correct classification rate of E-nose, the different feature representation modes (DFRM) for E-nose data were… read more here.
Keywords: classification; multi; nose data; maize samples ... See more keywords
An Adaptive Multi-Features Aware Correlation Filter for Visual Tracking
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DOI: 10.1109/access.2019.2942047
Abstract: In recent years, correlation filter (CF) based tracking methods have attracted more attention due to its low computational complexity and excellent performance. Most CF based tracking methods adopt CNN features of multiple layers to train… read more here.
Keywords: correlation filter; multi features; adaptive multi; features aware ... See more keywords