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Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification
As deep learning predictive models become an integral part of a large spectrum of precision agricultural systems, a barrier to the adoption of such automated solutions is the lack of user trust in these highly complex, opaque and uncertain models.
Texture and Color-based Image Retrieval Using the Local Extrema Features and Riemannian Distance
A novel efficient method for content-based image retrieval (CBIR) is developed in this paper using both texture and color features.
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