no code implementations • 15 Jan 2017 • Aditya A. Shastri, Deepti Tamrakar, Kapil Ahuja
We apply our two new descriptors on all images of the IRMA database for density wise classification, and compare with the standard descriptors.
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.
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 • 30 Sep 2018 • Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Aditya Shah, Aishwary Gagrani, Anant Lal
We develop a Vector Quantized Spectral Clustering (VQSC) algorithm that is a combination of Spectral Clustering (SC) and Vector Quantization (VQ) sampling for grouping Soybean genomes.
no code implementations • 18 Sep 2020 • Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Yann Busnel
We experimentally show that we are up to 45% more accurate than HC in terms of clustering accuracy.
no code implementations • 23 Aug 2021 • Seemandhar Jain, Aditya A. Shastri, Kapil Ahuja, Yann Busnel, Navneet Pratap Singh
Due to the large sizes of data, clustering algorithm often take too much time.
no code implementations • 22 Dec 2023 • Mithun Singh, Kapil Ahuja, Milind B. Ratnaparkhe
Commonly, a natural exponential function is used for this purpose.