28 search results - page 5 / 6 » The Positive Semidefinite Grothendieck Problem with Rank Con... |
ECML
2006
Springer
13 years 10 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
SIAMSC
2008
13 years 6 months ago
2008
We propose a distributed algorithm for solving Euclidean metric realization problems arising from large 3D graphs, using only noisy distance information, and without any prior kno...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
We present a practical, stratified autocalibration algorithm with theoretical guarantees of global optimality. Given a projective reconstruction, the first stage of the algorithm ...
IFIP
2005
Springer
14 years 13 days ago
2005
Springer
A new quasi-Newton scheme for updating a low rank positive semi-definite Hessian approximation is described, primarily for use in sequential quadratic programming methods for non...