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» The Pre-Image Problem in Kernel Methods
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CVPR
2007
IEEE
14 years 12 months ago
Sparse Kernels for Bayes Optimal Discriminant Analysis
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas of research ? especially in the C class classificat...
Aleix M. Martínez, Onur C. Hamsici
IPPS
2008
IEEE
14 years 4 months ago
Programmability of the HPCS Languages: A case study with a quantum chemistry kernel
As high-end computer systems present users with rapidly increasing numbers of processors, possibly also incorporating attached co-processors, programmers are increasingly challeng...
Aniruddha G. Shet, Wael R. Elwasif, Robert J. Harr...
3DIM
2005
IEEE
14 years 3 months ago
Globally Convergent Range Image Registration by Graph Kernel Algorithm
Automatic range image registration without any knowledge of the viewpoint requires identification of common regions across different range images and then establishing point corr...
Radim Sára, Ikuko Shimizu Okatani, Akihiro ...
IJCAI
2003
13 years 11 months ago
Continuous nonlinear dimensionality reduction by kernel Eigenmaps
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...
Matthew Brand
ICML
2002
IEEE
14 years 10 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...