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...
存在着预测精度不高和速度慢等问题.针对该问题,本文根据矿山实际生产数据的复杂性特点,利用基于核的极限学习机(Kernel-based Extreme Learning Machine,Kernel_ELM)此类高级神经网络学习算法,通过分析选矿过程中积累的指标数据,分别建立动态预测模型和时序预测模型.在建立时序预测模型时,先对生产数据进行相...
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...
In autumn, some Chinese elm (Ulmus parvifolia Marsham) trees, especially those with large seed crops, attract Scolytus multistriatus beetles. The beetles l... P Svihra 被引量: 10发表: 1999年 加载更多研究点推荐 high-resolution remote sensing images High-Resolution Remotely Sensed Imagery Kernel ...
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
Hierarchical multi-class SVM with elm kernel for epileptic EEG signal classification. Med Biol Eng Comput 2016;54:149-61.A. S. Muthanantha Murugavel, S. Ramakrishnan, "Hierarchical multiclass SVM with ELM kernel for epileptic EEG signal classification," Medical & Biological Engineering & Computing...
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...
The kernel online sequential ELM (KOS-ELM) is a straightforward extension of the well-known recursive least-squares method to the ELM framework. KOS-ELM is a good choice for the online learning of stationary applications. However, there are lots of situations and applications which are time ...
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. ...