Improved Extreme Learning Machine and Its Application in Image Quality Assessment
Extreme learning machine (ELM) is a new class of single-hidden layer feedforward neural network (SLFN), which is simple in theory and fast in implementation. Zong et al. propose a weighted extreme learning machine for learning data with imbalanced class distribution, which maintains the advantages f...
Main Authors: | Li Mao, Lidong Zhang, Xingyang Liu, Chaofeng Li, Hong Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2014/426152 |
Similar Items
-
A Multiple Hidden Layers Extreme Learning Machine Method and Its Application
by: Dong Xiao, et al.
Published: (2017-01-01) -
Multiple Features With Extreme Learning Machines For Clothing Image Recognition
by: Ruifan Li, et al.
Published: (2018-01-01) -
Rule Extraction Based on Extreme Learning Machine and an Improved Ant-Miner Algorithm for Transient Stability Assessment.
by: Yang Li, et al.
Published: (2015-01-01) -
Machine Learning Based Image Quality Assessment Model
by: Li-Heng Chen, et al.
Published: (2014) -
Image quality assessment using algorithmic and machine learning techniques
by: Li, Cui
Published: (2009)