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. ...
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...
Classification of imbalanced bioinformatics data by using boundary movement-based ELM kernel density estimationTo address the imbalanced classification problem emerging in Bioinformatics, a boundary movement-based extreme learning machine (ELM) ... K Cheng,Q Chen,X Yang,... - 《Biomed Mater Eng》 被...
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...
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 ...
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...
based on kernel function online sequence learning mode of ELM algorithm was deduced.Combined sequence learning mode and ELM algorithm mode based on kernel function,deduced online sequence kernel function output function model.Compared with original ELM algorithm it was more simple in output function and...
Extreme learning machine (ELM) kernels using random feature mapping have recently gained a lot of popularity because they require low human supervision. However, the superiority in the mapping mechanism of ELM kernels is accompanied by a higher computation cost, rendering the kernel learning algorithms...
Drift compensationKernel methodMultiple kernel learningDAELMA novel theoretical framework for drift compensation and classification of an electronic nose (E-nose), called QPSO-based domain adaptation kernel extreme learning machine (QDA-KELM) is presented in......
ELM-Kernel and reduced kernel ELM based watermarking schemedoi:10.1016/j.jisa.2019.03.005Neelam DabasRam Pal SinghElsevierWorkshop on Information Security Applications