Search Results for author:
Found 8 papers, 1 papers with code
Texture Edge detection by Patch consensus (TEP)
We propose Texture Edge detection using Patch consensus (TEP) which is a training-free method to detect the boundary of texture.
WeakIdent: Weak formulation for Identifying Differential Equations using Narrow-fit and Trimming
We propose a general and robust framework to recover differential equations using a weak formulation, for both ordinary and partial differential equations (ODEs and PDEs).
A Lifted $\ell_1 $ Framework for Sparse Recovery
Motivated by re-weighted $\ell_1$ approaches for sparse recovery, we propose a lifted $\ell_1$ (LL1) regularization which is a generalized form of several popular regularizations in the literature.
Counting Objects by Diffused Index: geometry-free and training-free approach
We refer to this approach as Counting Objects by Diffused Index (CODI).
A New Parallel Adaptive Clustering and its Application to Streaming Data
We develop regularized set \mi{k}-means to efficiently cluster the results from the parallel threads.
Curvature Regularized Surface Reconstruction from Point Cloud
We propose a variational functional and fast algorithms to reconstruct implicit surface from point cloud data with a curvature constraint.
IDENT: Identifying Differential Equations with Numerical Time evolution
The new algorithm, called Identifying Differential Equations with Numerical Time evolution (IDENT), is explored for data with non-periodic boundary conditions, noisy data and PDEs with varying coefficients.
Numerical Analysis
Lattice Identification and Separation: Theory and Algorithm
Motivated by lattice mixture identification and grain boundary detection, we present a framework for lattice pattern representation and comparison, and propose an efficient algorithm for lattice separation.
