6 citations · 18 across the 5 of their papers we have counts for
5 papers
A Mirroring Theorem and its Application to a New Method of Unsupervised Hierarchical Pattern Classification
Dasika Ratna Deepthi, K. Eswaran
In this paper, we prove a crucial theorem called Mirroring Theorem which affirms that given a collection of samples with enough information in it such that it can be classified int…
Quantum Pseudo-fractional Fourier Transform and its application to quantum phase estimation
Srinivas V. Parasa, K. Eswaran
- In this paper we present a method to compute the coefficients of the fractional Fourier transform (FrFT) on a quantum computer using quantum gates of polynomial complexity of the…
Pattern Recognition and Memory Mapping using Mirroring Neural Networks
Dasika Ratna Deepthi, K. Eswaran
In this paper, we present a new kind of learning implementation to recognize the patterns using the concept of Mirroring Neural Network (MNN) which can extract information from dis…
Automatic Pattern Classification by Unsupervised Learning Using Dimensionality Reduction of Data with Mirroring Neural Networks
Dasika Ratna Deepthi, G. R. Aditya Krishna, K. Eswaran
This paper proposes an unsupervised learning technique by using Multi-layer Mirroring Neural Network and Forgy's clustering algorithm. Multi-layer Mirroring Neural Network is a neu…
Dimensionality Reduction and Reconstruction using Mirroring Neural Networks and Object Recognition based on Reduced Dimension Characteristic Vector
Dasika Ratna Deepthi, Sujeet Kuchibhotla, K. Eswaran
In this paper, we present a Mirroring Neural Network architecture to perform non-linear dimensionality reduction and Object Recognition using a reduced lowdimensional characteristi…