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 ...

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 ...

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: 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 ...

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 ...

Abstract: Automatic modulation classification (AMC) is to identify the modulation format of the received signal corrupted by the channel effects and noise. Most existing works focus on the impact of ...

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 ...