Introduction: Motor Imagery (MI) Electroencephalography (EEG) signals are non-stationary and dynamic physiological signals which have low signal-to-noise ratio. Hence, it is difficult to achieve high ...
Predict a hierarchical, multi‑label tag set for a YouTube channel using only its thumbnails. Each channel is a variable‑size bag of images; labels form a DAG (categories → subcategories), with some ...
This repository contains an implementation of an image classification model combining the ResNet architecture with channel-wise attention mechanisms, such as Squeeze-and-Excitation (SE) blocks. By ...
Abstract: Hyperspectral image (HSI) classification is a key technique in remote sensing. Despite the increasing availability of high-quality HSI data, obtaining a large number of labeled samples ...
Abstract: Text categorization has always been a research hotspot in the field of natural language processing. Although text classification models based on deep learning have achieved good results, the ...
The automated classification of rock images is of paramount importance in geological analysis, as it serves as the foundational criterion for the categorization of rock lithology. Despite recent ...
May 28 - British television broadcaster Channel 4 today unveiled a range of plans for the London 2012 Paralympics – including a revolutionary new system to explain classifications and the most ...
We will discuss two stream channel classification systems this week: 1) EPA Watershed Academy, 2005, Fundamentals of the Rosgen Stream Classification System: Accessed ...
Channel 4 today launched its coverage of the London 2012 Paralympic Games by unveiling a revolutionary new graphical classification system it hopes will aid the viewing experience of this summer's ...
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