Kelum Gajamannage

According to our database, Kelum Gajamannage authored at least 20 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Efficient and Robust Remote Sensing Image Denoising Using Randomized Approximation of Geodesics' Gramian on the Manifold Underlying the Patch Space.

Kelum Gajamannage, Dilhani I. Jayathilake, Maria V. Vasilyeva

CoRR, April, 2025

Multiscale method for image denoising using nonlinear diffusion process: Local denoising and spectral multiscale basis functions.

Maria V. Vasilyeva, Aleksei Krasnikov, Kelum Gajamannage, Mehrübe Mehrübeoglu

J. Comput. Appl. Math., 2025

2023

Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs.

Kelum Gajamannage, Yonggi Park, Dilhani I. Jayathilake

Expert Syst. Appl., August, 2023

Geodesic Gramian denoising applied to the images contaminated with noise sampled from diverse probability distributions.

Kelum Gajamannage, Yonggi Park, Alexey L. Sadovski

IET Image Process., January, 2023

2022

Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders.

Kelum Gajamannage, Yonggi Park, Randy C. Paffenroth, Anura P. Jayasumana

Pattern Recognit., 2022

Efficient Noise Filtration of Images by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix.

Kelum Gajamannage, Yonggi Park, Sunil Mathur

CoRR, 2022

Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs.

Kelum Gajamannage, Yonggi Park

CoRR, 2022

Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling.

Yonggi Park, Kelum Gajamannage, Dilhani I. Jayathilake, Erik M. Bollt

CoRR, 2022

Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes.

Mary Isangediok, Kelum Gajamannage

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Bounded manifold completion.

Kelum Gajamannage, Randy C. Paffenroth

Pattern Recognit., 2021

2020

A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix.

Kelum Gajamannage, Randy C. Paffenroth, Anura P. Jayasumana

CoRR, 2020

2019

Network Topology Mapping From Partial Virtual Coordinates and Graph Geodesics.

Anura P. Jayasumana, Randy C. Paffenroth, Gunjan Mahindre, Sridhar Ramasamy, Kelum Gajamannage

IEEE/ACM Trans. Netw., 2019

A nonlinear dimensionality reduction framework using smooth geodesics.

Kelum Gajamannage, Randy C. Paffenroth, Erik M. Bollt

Pattern Recognit., 2019

On Sampling and Recovery of Topology of Directed Social Networks - A Low-Rank Matrix Completion Based Approach.

Gunjan Mahindre, Anura P. Jayasumana, Kelum Gajamannage, Randy C. Paffenroth

Proceedings of the 44th IEEE Conference on Local Computer Networks, 2019

Reconstruction of Agents' Corrupted Trajectories of Collective Motion Using Low-rank Matrix Completion.

Kelum Gajamannage, Randy C. Paffenroth

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Dimenslon Estlmatlon of Equlty Markets.

Nitish Bahadur, Randy C. Paffenroth, Kelum Gajamannage

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2016

Modeling the lowest-cost splitting of a herd of cows by optimizing a cost function.

Kelum Gajamannage, Erik M. Bollt, Mason A. Porter, Marian S. Dawkins

CoRR, 2016

2015

Detecting phase transitions in collective behavior using manifold's curvature.

Kelum Gajamannage, Erik M. Bollt

CoRR, 2015

Dimensionality Reduction of Collective Motion by Principal Manifolds.

Kelum Gajamannage, Sachit Butail, Maurizio Porfiri, Erik M. Bollt

CoRR, 2015

Identifying manifolds underlying group motion in Vicsek agents.

Kelum Gajamannage, Sachit Butail, Maurizio Porfiri, Erik M. Bollt

CoRR, 2015