81 citations · 106 across the 6 of their papers we have counts for
6 papers
SAGRAD: A Program for Neural Network Training with Simulated Annealing and the Conjugate Gradient Method
Javier Bernal, Jose Torres-Jimenez
SAGRAD (Simulated Annealing GRADient), a Fortran 77 program for computing neural networks for classification using batch learning, is discussed. Neural network training in SAGRAD i…
FFT-based Alignment of 2d Closed Curves with Application to Elastic Shape Analysis
Günay Dogan, Javier Bernal, Charles Hagwood
For many shape analysis problems in computer vision and scientific imaging (e.g., computational anatomy, morphological cytometry), the ability to align two closed curves in the pla…
Partial Elastic Shape Registration of 3D Surfaces using Dynamic Programming
Javier Bernal, Jim Lawrence
The computation of the elastic shape registration of two simple surfaces in 3-dimensional space and therefore of the elastic shape distance between them has been investigated by Ku…
Characterization and Computation of Matrices of Maximal Trace over Rotations
Javier Bernal, Jim Lawrence
The constrained orthogonal Procrustes problem is the least-squares problem that calls for a rotation matrix that optimally aligns two corresponding sets of points in d-dimensional…
A Purely Algebraic Justification of the Kabsch-Umeyama Algorithm
Jim Lawrence, Javier Bernal, Christoph Witzgall
The constrained orthogonal Procrustes problem is the least-squares problem that calls for a rotation matrix that optimally aligns two matrices of the same order. Over past decades,…
Shape Analysis, Lebesgue Integration and Absolute Continuity Connections
Javier Bernal
As shape analysis of the form presented in Srivastava and Klassen's textbook 'Functional and Shape Data Analysis' is intricately related to Lebesgue integration and absolute contin…