54 citations · 98 across the 23 of their papers we have counts for
5 papers · 1 filter
Fast Algorithms for Displacement and Low-Rank Structured Matrices
Shivkumar Chandrasekaran, Nithin Govindarajan, Abhejit Rajagopal
This tutorial provides an introduction to the development of fast matrix algorithms based on the notions of displacement and various low-rank structures.
On the approximation of Koopman spectra of measure-preserving flows
Nithin Govindarajan, Ryan Mohr, Shivkumar Chandrasekaran +1
The method of using periodic approximations to compute the spectral decomposition of the Koop- man operator is generalized to the class of measure-preserving flows on compact metri…
Deep Algorithms: designs for networks
Abhejit Rajagopal, Shivkumar Chandrasekaran, Hrushikesh N. Mhaskar
A new design methodology for neural networks that is guided by traditional algorithm design is presented. To prove our point, we present two heuristics and demonstrate an algorithm…
On the approximation of Koopman spectra for measure preserving transformations
Nithin Govindarajan, Ryan Mohr, Shivkumar Chandrasekaran +1
For the class of continuous, measure-preserving automorphisms on compact metric spaces, a procedure is proposed for constructing a sequence of finite-dimensional approximations to…
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis
Tajuddin Manhar Mohammed, Jason Bunk, Lakshmanan Nataraj +6
Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting…