Witnessed k-Distance (Extended Abstract)

Authors: Leonidas Guibas, Quentin Mérigot, Dmitriy Morozov

Contributors: The Pennsylvania State University CiteSeerX Archives

Source: http://www.mrzv.org/publications/witnessed-kdistance/socg11/.

Subject Terms: Nonnumerical Algorithms and Problems, I.3.5 [Computer Graphics, Computational Geometry and Object Modeling, I.5.1 [Pattern Recognition, Models—Geometric General Terms Algorithms, Theory Keywords geometric inference

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.225.3498

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.225.3498
http://www.mrzv.org/publications/witnessed-kdistance/socg11/

Coresets for Polytope Distance

Authors: Bernd Gärtner, Martin Jaggi

Contributors: The Pennsylvania State University CiteSeerX Archives

Source: http://www.m8j.net/data/List/Files-143/Coresets%20for%20Polytope%20Distance%20-%20Martins%20Version.pdf.

Subject Terms: problems and computations, Pattern matching, I.5.1 [Pattern Recognition, Models—Geometric General Terms Algorithms, Theory Keywords Approximation Algorithms, Coresets, Polytope Distance, Support Vector Machines, Kernel Methods, Sparsity, Geometric Optimization

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.3011

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.3011
http://www.m8j.net/data/List/Files-143/Coresets%20for%20Polytope%20Distance%20-%20Martins%20Version.pdf

Coresets for polytope distance

Authors: Bernd Gärtner, Martin Jaggi

Contributors: The Pennsylvania State University CiteSeerX Archives

Source: http://delivery.acm.org/10.1145/1550000/1542370/p33-gartner.pdf?CFID%3D285707620%26CFTOKEN%3D20203871%26__acm__%3D1362046528_1fbfb90b3d98796925837087b455f23c%26acc%3DACTIVE+SERVICE%26ip%3D130.203.136.92.

Subject Terms: Categories and Subject Descriptors F.2.2 [Analysis of Algorithms and Problem Complexity, Nonnumerical Algorithms and Problems—Geometrical problems and computations, Pattern matching, I.5.1 [Pattern Recognition, Models—Geometric General Terms Algorithms, Theory Keywords Approximation Algorithms, Coresets, Polytope Distance, Support Vector Machines, Kernel Methods, Sparsity, Geometric Optimization

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.8692

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.8692
https://doi.org/10.1145/1550000/1542370/p33-gartner.pdf?CFID%3D285707620%26CFTOKEN%3D20203871%26__acm__%3D1362046528_1fbfb90b3d98796925837087b455f23c%26acc%3DACTIVE+SERVICE%26ip%3D130.203.136.92