2 citations · 2 across the 5 of their papers we have counts for
5 papers
Representation Learning via Manifold Flattening and Reconstruction
Michael Psenka, Druv Pai, Vishal Raman +2
This work proposes an algorithm for explicitly constructing a pair of neural networks that linearize and reconstruct an embedded submanifold, from finite samples of this manifold.…
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization
Amay Saxena, Chih-Yuan Chiu, Joseph Menke +2
Simultaneous Localization and Mapping (SLAM) algorithms perform visual-inertial estimation via filtering or batch optimization methods. Empirical evidence suggests that filtering a…
A 3D Advancing-Front Delaunay Mesh Refinement Algorithm
Shankar P Sastry
I present a 3D advancing-front mesh refinement algorithm that generates a constrained Delaunay mesh for any piecewise linear complex (PLC) and extend this algorithm to produce trul…
Curvilinear Mesh Adaptation using Radial Basis Function Interpolation and Smoothing
Vidhi Zala, Varun Shankar, Shankar P. Sastry +1
We present a new iterative technique based on radial basis function (RBF) interpolation and smoothing for the generation and smoothing of curvilinear meshes from straight-sided or…
Snow Globe: An Advancing-Front 3D Delaunay Mesh Refinement Algorithm
Shankar Prasad Sastry
<incorrect proofs; does not consider an important case because of which the proofs are wrong. The paper was withdrawn from submission> One of the objectives of a Delaunay mesh refi…