An effective classifier combining convolutional neural network and regularized extreme
learning machine (called as CNN-RELM) is presented in this paper. Firstly, CNN-RELM …

Face recognition task has been an active research area in recent years in computer vision
and biometrics. Feature extraction and classification are the most significant steps for …

Abstract Extreme Learning Machine (ELM) has been proposed as a new algorithm for
training single hidden layer feed forward neural networks. The main merit of ELM lies in the …

The original extreme learning machine (ELM), based on least square solutions, is an
efficient learning algorithm used in “generalized” single-hidden layer feedforward networks …

As a fast iterative neural networks learning algorithm, extreme learning machine (ELM) is a
fast learning computation approach, and its whole learning process is completed through a …

Extreme learning machine (ELM), as a newly developed learning paradigm for the
generalized single hidden layer feedforward neural networks, has been widely studied due …

Extreme Learning machine (ELM), a linear system model introduced originally for
feedforward neural networks having single-hidden layer, which is non-iteratively tuned. In …

Extreme learning machine (ELM), a least-square-based learning algorithm, is a competitive
machine learning method and provides efficient unified learning solutions for the …

Extreme Learning Machine (ELM) has been introduced as a new algorithm for training
single hidden layer feed-forward neural networks (SLFNs) instead of the classical gradient …

Extreme learning machine (ELM) proposed by Huang et al. is a learning algorithm for single-
hidden layer feedforward neural networks (SLFNs). ELM has the advantage of fast learning …