Correction to: Deep kernel learning in extreme learning machines
نویسندگان
چکیده
منابع مشابه
Learning deep representations via extreme learning machines
Extreme learning machine (ELM) as an emerging technology has achieved exceptional performance in large-scale settings, and is well suited to binary and multi-class classification, as well as regression tasks. However, existing ELM and its variants predominantly employ single hidden layer feedforward networks, leaving the popular and potentially powerful stacked generalization principle unexploi...
متن کاملOptimizing Kernel Machines using Deep Learning
Building highly non-linear and non-parametric models is central to several state-of-the-art machine learning systems. Kernel methods form an important class of techniques that induce a reproducing kernel Hilbert space (RKHS) for inferring non-linear models through the construction of similarity functions from data. These methods are particularly preferred in cases where the training data sizes ...
متن کاملKernel based Extreme Learning Machines for Image Classification
This paper investigates possibilities for application of Kernel based Extreme Learning Machines (K-ELM) to the problem of multiclass image classification. It is combined with Local Binary Pattern (LBP) image descriptor, to reach highly accurate results. LBP is widely used global image descriptor characterized by compactness and robustness to illumination and resolution changes. Classification i...
متن کاملA New Method for Detecting Ships in Low Size and Low Contrast Marine Images: Using Deep Stacked Extreme Learning Machines
Detecting ships in marine images is an essential problem in maritime surveillance systems. Although several types of deep neural networks have almost ubiquitously used for this purpose, but the performance of such networks greatly drops when they are exposed to low size and low contrast images which have been captured by passive monitoring systems. On the other hand factors such as sea waves, c...
متن کاملAdvances in Extreme Learning Machines
Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Mark van Heeswijk Name of the doctoral dissertation Advances in Extreme Learning Machines Publisher School of Science Unit Department of Information and Computer Science Series Aalto University publication series DOCTORAL DISSERTATIONS 43/2015 Field of research Information and Computer Science Manuscript submitted 19 January 2...
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ژورنال
عنوان ژورنال: Pattern Analysis and Applications
سال: 2021
ISSN: 1433-7541,1433-755X
DOI: 10.1007/s10044-020-00944-y