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03/19/2021
Online Lifelong Generalized Zero-Shot Learning
Methods proposed in the literature for zero-shot learning (ZSL) are typi...
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01/22/2021
Generative Replay-based Continual Zero-Shot Learning
Zero-shot learning is a new paradigm to classify objects from classes th...
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12/02/2020
Meta-Cognition-Based Simple And Effective Approach To Object Detection
Recently, many researchers have attempted to improve deep learning-based...
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11/24/2020
Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification
One-class classification (OCC) needs samples from only a single class to...
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11/17/2020
Generalized Continual Zero-Shot Learning
Recently, zero-shot learning (ZSL) emerged as an exciting topic and attr...
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04/13/2019
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
Kernel method-based one-class classifier is mainly used for outlier or n...
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04/13/2019
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)
A brain can detect outlier just by using only normal samples. Similarly,...
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05/21/2018
Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification
Multi-kernel learning has been well explored in the recent past and has ...
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05/20/2018
Multi-layer Kernel Ridge Regression for One-class Classification
In this paper, a multi-layer architecture (in a hierarchical fashion) by...
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01/17/2017
