Listar Artículos de revista DEIM - EIMS Aldizkari artikuluak por tema "Convolutional neural networks"
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Generalizing max pooling via (a, b)-grouping functions for convolutional neural networks
Due to their high adaptability to varied settings and effective optimization algorithm, Convolutional Neural Networks (CNNs) have set the state-of-the-art on image processing jobs for the previous decade. CNNs work in a ... -
Hyperspectral system trade-offs for illumination, hardware and analysis methods: a case study of seed mix ingredient discrimination
The discrimination power of a hyperspectral imaging system for image segmentation or object detection is determined by the illumination, the camera spatial–spectral resolution, and both the pre-processing and analysis ... -
Learning ordered pooling weights in image classification
Spatial pooling is an important step in computer vision systems like Convolutional Neural Networks or the Bag-of-Words method. The spatial pooling purpose is to combine neighbouring descriptors to obtain a single descriptor ... -
A study on the suitability of different pooling operators for convolutional neural networks in the prediction of COVID-19 through chest x-ray image analysis
The 2019 coronavirus disease outbreak, caused by the severe acute respiratory syndrome type-2 virus (SARS-CoV-2), was declared a pandemic in March 2020. Since its emergence to the present day, this disease has brought ...