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ICCV
2007
IEEE
16 years 18 days ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
AI
2003
Springer
15 years 11 months ago
Hybrid Randomised Neighbourhoods Improve Stochastic Local Search for DNA Code Design
Sets of DNA strands that satisfy combinatorial constraints play an important role in various approaches to biomolecular computation, nanostructure design, and molecular tagging. Th...
Dan C. Tulpan, Holger H. Hoos
IMR
2003
Springer
15 years 11 months ago
A Crystalline, Red Green Strategy for Meshing Highly Deformable Objects with Tetrahedra
Motivated by Lagrangian simulation of elastic deformation, we propose a new tetrahedral mesh generation algorithm that produces both high quality elements and a mesh that is well ...
Neil Molino, Robert Bridson, Joseph Teran, Ronald ...
EGICE
2006
15 years 10 months ago
Combining Two Data Mining Methods for System Identification
System identification is an abductive task which is affected by several kinds of modeling assumptions and measurement errors. Therefore, instead of optimizing values of parameters ...
Sandro Saitta, Benny Raphael, Ian F. C. Smith
ECCV
2010
Springer
15 years 7 months ago
Piecewise Quadratic Reconstruction of Non-Rigid Surfaces from Monocular Sequences
Abstract. In this paper we present a new method for the 3D reconstruction of highly deforming surfaces (for instance a flag waving in the wind) viewed by a single orthographic came...
João Fayad, Lourdes de Agapito, Alessio Del...