5 citations · 8 across the 2 of their papers we have counts for
3 papers
eess.IV2020★ 3 cited
Perceptually inspired weighted MSE optimization using irregularity-aware graph Fourier transform
Keng-Shih Lu, Antonio Ortega, Debargha Mukherjee +1
In image and video coding applications, distortion has been traditionally measured using mean square error (MSE), which suggests the use of orthogonal transforms, such as the discr…
eess.SP2019
Fast Graph Fourier Transforms Based on Graph Symmetry and Bipartition
Keng-Shih Lu, Antonio Ortega
The graph Fourier transform (GFT) is an important tool for graph signal processing, with applications ranging from graph-based image processing to spectral clustering. However, unl…
eess.SP2017★ 5 cited
Closed Form Solutions of Combinatorial Graph Laplacian Estimation under Acyclic Topology Constraints
Keng-Shih Lu, Antonio Ortega
How to obtain a graph from data samples is an important problem in graph signal processing. One way to formulate this graph learning problem is based on Gaussian maximum likelihood…