Picture for Kelum Gajamannage

Kelum Gajamannage

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

Add code
Apr 15, 2025
Viaarxiv icon

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

Add code
Sep 27, 2022
Figure 1 for Efficient Noise Filtration of Images by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix
Figure 2 for Efficient Noise Filtration of Images by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix
Figure 3 for Efficient Noise Filtration of Images by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix
Figure 4 for Efficient Noise Filtration of Images by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix
Viaarxiv icon

Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes

Add code
Sep 04, 2022
Figure 1 for Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes
Figure 2 for Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes
Figure 3 for Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes
Figure 4 for Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes
Viaarxiv icon

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

Add code
May 10, 2022
Figure 1 for Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs
Figure 2 for Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs
Figure 3 for Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs
Figure 4 for Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs
Viaarxiv icon

Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions

Add code
Mar 04, 2022
Figure 1 for Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions
Figure 2 for Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions
Figure 3 for Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions
Figure 4 for Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions
Viaarxiv icon

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

Add code
Feb 14, 2022
Figure 1 for Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling
Figure 2 for Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling
Figure 3 for Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling
Figure 4 for Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling
Viaarxiv icon

Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders

Add code
Oct 20, 2021
Figure 1 for Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders
Figure 2 for Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders
Figure 3 for Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders
Figure 4 for Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders
Viaarxiv icon

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

Add code
Oct 14, 2020
Figure 1 for A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix
Figure 2 for A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix
Figure 3 for A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix
Figure 4 for A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix
Viaarxiv icon

Bounded Manifold Completion

Add code
Dec 19, 2019
Figure 1 for Bounded Manifold Completion
Figure 2 for Bounded Manifold Completion
Figure 3 for Bounded Manifold Completion
Figure 4 for Bounded Manifold Completion
Viaarxiv icon

A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics

Add code
Jul 13, 2018
Figure 1 for A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics
Figure 2 for A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics
Figure 3 for A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics
Figure 4 for A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics
Viaarxiv icon