ELM_KernelClassificationRehabilitation technology based on brain-computer interface (BCI) has become a promising approach for patients with dyskinesia to regain movement. In this paper, a novel classification algorithm is proposed based on the characteristic of electroencephalogram (EEG) signals. ...
elm_kernel examples .gitignore LICENCE.txt MANIFEST.in README.md kernel.json setup.py This kernel adds support for Elm toJupyternotebooks. While basic functionality is in place, this is still very much a work in progress. I'm still figuring it all out. Any help, ideas, etc. would be...
Ramakrishnan, "Hierarchical Multi-class SVM with ELM Kernel for Epileptic EEG Signal Classification," Medical & Biological Engineering & Computing, vol. 54, no. 1, pp. 149-161, 2016A. S. M. Murugavel and S. Ramakrishnan, "Hierarchical multi- class SVM with ELM kernel for epileptic EEG ...
In this paper, a novel hierarchical multi-class SVM (H-MSVM) with extreme learning machine (ELM) as kernel is proposed to classify electroencephalogram (EEG) signals for epileptic seizure detection. A clinical EEG benchmark dataset having five classes, obtained from Department of Epileptology, Med...
A Kernel ELM Classifier for High-Resolution Remotely Sensed Imagery Based on Multiple Features 来自 Semantic Scholar 喜欢 0 阅读量: 100 作者:Y Wei,Z Zeng,L Cheng,H Tang 摘要: Better interpretation about the contents in high-resolution remote sensing images can be obtained by using multiple ...
A cross-platform GUI library for Rust, inspired by Elm - GitHub - zimokernel/iced: A cross-platform GUI library for Rust, inspired by Elm
SVD is applied to each block to get their singular values then these values have been modified by using the Cox's formula to embed one bit of watermark in one block and a watermarked image is then obtained. During the machine training phase, an ELM-Kernel(KELM) and Reduced Kernel Extreme...
ELM-Kernel and reduced kernel ELM based watermarking schemedoi:10.1016/j.jisa.2019.03.005Neelam DabasRam Pal SinghElsevierWorkshop on Information Security Applications
Kernel extreme learning machine (KELM) is a novel feedforward neural network, which is widely used in classification problems. To some extent, it solves the existing problems of the invalid nodes and the large computational complexity in ELM. However, the traditional KELM classifier usually has a...
Zhigang ZengCheng LianHuiming TangSpringer International PublishingYao, W.; Zeng, Z.; Lian, C.; Tang, H. A Kernel ELM Classifier for High-Resolution Remotely Sensed Imagery Based on Multiple Features. In Advances in Neural Networks--ISNN 2014; Springer: Cham, Switzerland, 2014; pp. 270-277...