2 citations · 6 across the 4 of their papers we have counts for
6 papers
Feature Generation for Long-tail Classification
Rahul Vigneswaran, Marc T. Law, Vineeth N. Balasubramanian +1
The visual world naturally exhibits an imbalance in the number of object or scene instances resulting in a \emph{long-tailed distribution}. This imbalance poses significant challen…
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization
Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran +1
Loss landscape analysis is extremely useful for a deeper understanding of the generalization ability of deep neural network models. In this work, we propose a layerwise loss landsc…
Dynamic Mode Decomposition based feature for Image Classification
Rahul-Vigneswaran K, Sachin-Kumar S, Neethu Mohan +1
Irrespective of the fact that Machine learning has produced groundbreaking results, it demands an enormous amount of data in order to perform so. Even though data production has be…
Data-driven Computing in Elasticity via Chebyshev Approximation
Rahul-Vigneswaran K, Neethu Mohan, Soman KP
This paper proposes a data-driven approach for computing elasticity by means of a non-parametric regression approach rather than an optimization approach. The Chebyshev approximati…
A Compendium on Network and Host based Intrusion Detection Systems
Rahul-Vigneswaran K, Prabaharan Poornachandran, Soman KP
The techniques of deep learning have become the state of the art methodology for executing complicated tasks from various domains of computer vision, natural language processing, a…
An Insight into the Dynamics and State Space Modelling of a 3-D Quadrotor
Rahul Vigneswaran K, Soman KP
Drones have gained popularity in a wide range of field ranging from aerial photography, aerial mapping, and investigation of electric power lines. Every drone that we know today is…