General purpose computation using Graphic Processing Units (GPUs) is a well‐established
research area focusing on high‐performance computing solutions for massively …

The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …

Hand movement classification based on surface electromyography (sEMG) pattern
recognition is a promising approach for upper limb neuroprosthetic control. However …

Support Vector Machines (SVMs) are classic supervised learning models for classification,
regression and distribution estimation. A survey conducted by Kaggle in 2017 shows that …

A growing number of commercial and enterprise systems increasingly rely on compute-
intensive Machine Learning (ML) algorithms. While the demand for these compute-intensive …

Most traditional approaches classify hyperspectral image (HSI) pixels relying only on the
spectral values of the input channels. However, the spatial context around a pixel is also …

With slowing technology scaling, specialized accelerators are increasingly attractive
solutions to continue expected generational scaling of performance. However, in order to …

Pattern mining is a fundamental technique of data mining to discover interesting correlations
in the data set. There are several variations of pattern mining, such as frequent itemset …

This paper focuses on the problem of feature extraction and the classification of
microvascular morphological types to aid esophageal cancer detection. We present a patch …

Owing to the recent development of sensor resolutions onboard different Earth observation
platforms, remote sensing is an important source of information for mapping and monitoring …