6 citations · 25 across the 12 of their papers we have counts for
12 papers
The Dirichlet Series for the Liouville Function and the Riemann Hypothesis
K. Eswaran
This paper investigates the analytic properties of the Liouville function's Dirichlet series that obtains from the function F(s)= zeta(2s)/zeta(s), where s is a complex variable an…
Learning Discriminative Features using Encoder-Decoder type Deep Neural Nets
Vishwajeet Singh, Killamsetti Ravi Kumar, K Eswaran
As machine learning is applied to an increasing variety of complex problems, which are defined by high dimensional and complex data sets, the necessity for task oriented feature le…
On non-iterative training of a neural classifier
K. Eswaran, K. Damodhar Rao
Recently an algorithm, was discovered, which separates points in n-dimension by planes in such a manner that no two points are left un-separated by at least one plane{[}1-3{]}. By…
A non iterative method of separation of points by planes in n dimensions and its application
K. Eswaran
Given a set of N points, we have discovered an algorithm that can separate these points from one another by n-dimensional planes. Each point is chosen at random and put into a set…
Some Theorems for Feed Forward Neural Networks
K. Eswaran, Vishwajeet Singh
In this paper we introduce a new method which employs the concept of "Orientation Vectors" to train a feed forward neural network and suitable for problems where large dimensions a…
A Novel Algorithm for Linear Programming
K. Eswaran
The problem of optimizing a linear objective function,given a number of linear constraints has been a long standing problem ever since the times of Kantorovich, Dantzig and von Neu…