A survey on graphic processing unit computing for large‐scale data mining
A Cano - Wiley Interdisciplinary Reviews: Data Mining and …, 2018 - Wiley Online Library
General purpose computation using Graphic Processing Units (GPUs) is a well‐established
research area focusing on high‐performance computing solutions for massively …
research area focusing on high‐performance computing solutions for massively …
GPU virtualization and scheduling methods: A comprehensive survey
The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …
established a new accelerator-based heterogeneous computing model, which now …
Self-recalibrating surface EMG pattern recognition for neuroprosthesis control based on convolutional neural network
Hand movement classification based on surface electromyography (sEMG) pattern
recognition is a promising approach for upper limb neuroprosthetic control. However …
recognition is a promising approach for upper limb neuroprosthetic control. However …
ThunderSVM: A fast SVM library on GPUs and CPUs
Support Vector Machines (SVMs) are classic supervised learning models for classification,
regression and distribution estimation. A survey conducted by Kaggle in 2017 shows that …
regression and distribution estimation. A survey conducted by Kaggle in 2017 shows that …
Tabla: A unified template-based framework for accelerating statistical machine learning
A growing number of commercial and enterprise systems increasingly rely on compute-
intensive Machine Learning (ML) algorithms. While the demand for these compute-intensive …
intensive Machine Learning (ML) algorithms. While the demand for these compute-intensive …
Two-stream deep architecture for hyperspectral image classification
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 …
spectral values of the input channels. However, the spatial context around a pixel is also …
Towards general purpose acceleration by exploiting common data-dependence forms
With slowing technology scaling, specialized accelerators are increasingly attractive
solutions to continue expected generational scaling of performance. However, in order to …
solutions to continue expected generational scaling of performance. However, in order to …
[HTML][HTML] A review on big data based parallel and distributed approaches of pattern mining
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 …
in the data set. There are several variations of pattern mining, such as frequent itemset …
CNN-SVM for microvascular morphological type recognition with data augmentation
DX Xue, R Zhang, H Feng, YL Wang - Journal of medical and biological …, 2016 - Springer
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 …
microvascular morphological types to aid esophageal cancer detection. We present a patch …
On understanding big data impacts in remotely sensed image classification using support vector machine methods
G Cavallaro, M Riedel, M Richerzhagen… - IEEE journal of …, 2015 - ieeexplore.ieee.org
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 …
platforms, remote sensing is an important source of information for mapping and monitoring …