activity
20182021
most citedStructuring an unordered text document

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20212 cited

EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection

Shivang Agarwal, C. Ravindranath Chowdary, Vivek Sourabh

In the field of biometrics, fingerprint recognition systems are vulnerable to presentation attacks made by artificially generated spoof fingerprints. Therefore, it is essential to…

cs.LG2020

AILearn: An Adaptive Incremental Learning Model for Spoof Fingerprint Detection

Shivang Agarwal, Ajita Rattani, C. Ravindranath Chowdary

Incremental learning enables the learner to accommodate new knowledge without retraining the existing model. It is a challenging task which requires learning from new data as well…

cs.LG2019

EILearn: Learning Incrementally Using Previous Knowledge Obtained From an Ensemble of Classifiers

Shivang Agarwal, C. Ravindranath Chowdary, Shripriya Maheshwari

We propose an algorithm for incremental learning of classifiers. The proposed method enables an ensemble of classifiers to learn incrementally by accommodating new training data. W…

cs.IR20192 cited

Structuring an unordered text document

Shashank Yadav, Tejas Shimpi, C. Ravindranath Chowdary +3

Segmenting an unordered text document into different sections is a very useful task in many text processing applications like multiple document summarization, question answering, e…

cs.CV2018

Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks

Shivang Agarwal, Jean Ogier Du Terrail, Frédéric Jurie

Object detection-the computer vision task dealing with detecting instances of objects of a certain class (e.g., 'car', 'plane', etc.) in images-attracted a lot of attention from th…