Search Results for author: Chandan Gautam

Found 11 papers, 2 papers with code

Online Lifelong Generalized Zero-Shot Learning

1 code implementation19 Mar 2021 Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram

Methods proposed in the literature for zero-shot learning (ZSL) are typically suitable for offline learning and cannot continually learn from sequential streaming data.

Continual Learning Generalized Zero-Shot Learning +1

Generative Replay-based Continual Zero-Shot Learning

no code implementations22 Jan 2021 Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram

Zero-shot learning is a new paradigm to classify objects from classes that are not available at training time.

Continual Learning Zero-Shot Learning

Meta-Cognition-Based Simple And Effective Approach To Object Detection

no code implementations2 Dec 2020 Sannidhi P Kumar, Chandan Gautam, Suresh Sundaram

Recently, many researchers have attempted to improve deep learning-based object detection models, both in terms of accuracy and operational speeds.

Autonomous Navigation object-detection +1

Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification

no code implementations24 Nov 2020 Pratik K. Mishra, Chandan Gautam, Aruna Tiwari

The experimental results show that VAAKELM consistently performs better than the existing classifiers, making it a viable alternative for the OCC task.

General Classification

Generalized Continual Zero-Shot Learning

no code implementations17 Nov 2020 Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram

Further, to enhance the reliability, we develop CZSL for a single head continual learning setting where task identity is revealed during the training process but not during the testing.

Continual Learning Knowledge Distillation +1

Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification

1 code implementation21 May 2018 Chandan Gautam, Ramesh Balaji, K Sudharsan, Aruna Tiwari, Kapil Ahuja

In this paper, we present a multiple kernel learning approach for the One-class Classification (OCC) task and employ it for anomaly detection.

Anomaly Detection Classification +3

Multi-layer Kernel Ridge Regression for One-class Classification

no code implementations20 May 2018 Chandan Gautam, Aruna Tiwari, Sundaram Suresh, Alexandros Iosifidis

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 and is referred as MKOC.

Classification General Classification +1

On The Construction of Extreme Learning Machine for Online and Offline One-Class Classification - An Expanded Toolbox

no code implementations17 Jan 2017 Chandan Gautam, Aruna Tiwari, Qian Leng

Our proposed classifiers exhibit better performance compared to ten traditional one-class classifiers and ELM based two one-class classifiers.

General Classification

Online Learning with Regularized Kernel for One-class Classification

no code implementations17 Jan 2017 Chandan Gautam, Aruna Tiwari, Sundaram Suresh, Kapil Ahuja

This paper presents an online learning with regularized kernel based one-class extreme learning machine (ELM) classifier and is referred as online RK-OC-ELM.

Classification General Classification +3

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