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» Geometric Algorithms on CUDA
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CVPR
2007
IEEE
16 years 5 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
133
Voted
RECOMB
2004
Springer
16 years 3 months ago
Interface surfaces for protein-protein complexes
Protein-protein interactions, which form the basis for most cellular processes, result in the formation of protein interfaces. Believing that the local shape of proteins is crucia...
Yih-En Andrew Ban, Herbert Edelsbrunner, Johannes ...
106
Voted
FOCS
1992
IEEE
15 years 7 months ago
Safe and Effective Determinant Evaluation
The problem of evaluating the sign of the determinant of a small matrix arises in many geometric algorithms. Given an n
Kenneth L. Clarkson
ECCV
2008
Springer
16 years 5 months ago
Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
Abstract. Despite the ubiquitous use of range images in various computer vision applications, little has been investigated about the size variation of the local geometric structure...
John Novatnack, Ko Nishino
CIARP
2004
Springer
15 years 8 months ago
Refined Method for the Fast and Exact Computation of Moment Invariants
Geometric moments have been proven to be a very efficient tool for description and recognition of binary shapes. Numerous methods for effective calculation of image moments have be...
Juan Humberto Sossa Azuela, Jan Flusser