31 citations · 45 across the 3 of their papers we have counts for
3 papers
cs.LG2016★ 11 cited
An Online Universal Classifier for Binary, Multi-class and Multi-label Classification
Meng Joo Er, Rajasekar Venkatesan, Ning Wang
Classification involves the learning of the mapping function that associates input samples to corresponding target label. There are two major categories of classification problems:…
cs.LG2016★ 3 cited
A High Speed Multi-label Classifier based on Extreme Learning Machines
Meng Joo Er, Rajasekar Venkatesan, Ning Wang
In this paper a high speed neural network classifier based on extreme learning machines for multi-label classification problem is proposed and dis-cussed. Multi-label classificatio…
cs.LG2016★ 31 cited
Multi-Label Classification Method Based on Extreme Learning Machines
Rajasekar Venkatesan, Meng Joo Er
In this paper, an Extreme Learning Machine (ELM) based technique for Multi-label classification problems is proposed and discussed. In multi-label classification, each of the input…