1 code implementation • 19 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.
no code implementations • 22 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.
no code implementations • 2 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.
no code implementations • 24 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.
no code implementations • 17 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.
no code implementations • 13 Apr 2019 • Chandan Gautam, Aruna Tiwari, M. Tanveer
By using two types of Graph-Embedding, 4 variants of Graph-Embedded multi-layer KRR-based one-class classifier has been presented in this paper.
no code implementations • 13 Apr 2019 • Chandan Gautam, Aruna Tiwari, M. Tanveer
This privileged information is available as a feature with the dataset but only for training (not for testing).
1 code implementation • 21 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.
no code implementations • 20 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.
no code implementations • 17 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.
no code implementations • 17 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.