10 citations · 13 across the 4 of their papers we have counts for
5 papers · 1 filter
Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification
Pratik K. Mishra, Chandan Gautam, Aruna Tiwari
One-class classification (OCC) needs samples from only a single class to train the classifier. Recently, an auto-associative kernel extreme learning machine was developed for the O…
OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based One-class Classification using Privileged Information)
Chandan Gautam, Aruna Tiwari, M. Tanveer
Kernel method-based one-class classifier is mainly used for outlier or novelty detection. In this letter, kernel ridge regression (KRR) based one-class classifier (KOC) has been ex…
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)
Chandan Gautam, Aruna Tiwari, M. Tanveer
A brain can detect outlier just by using only normal samples. Similarly, one-class classification (OCC) also uses only normal samples to train the model and trained model can be us…
Multi-layer Kernel Ridge Regression for One-class Classification
Chandan Gautam, Aruna Tiwari, Sundaram Suresh +1
In this paper, a multi-layer architecture (in a hierarchical fashion) by stacking various Kernel Ridge Regression (KRR) based Auto-Encoder for one-class classification is proposed…
Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification
Chandan Gautam, Ramesh Balaji, K Sudharsan +2
Multi-kernel learning has been well explored in the recent past and has exhibited promising outcomes for multi-class classification and regression tasks. In this paper, we present…