Sciweavers

240 search results - page 10 / 48
» The Kernel Trick for Distances
Sort
View
ECCV
2010
Springer
13 years 12 months ago
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
ICPR
2006
IEEE
14 years 8 months ago
A Convolution Edit Kernel for Error-tolerant Graph Matching
General graph matching methods often suffer from the lack of mathematical structure in the space of graphs. Using kernel functions to evaluate structural graph similarity allows u...
Horst Bunke, Michel Neuhaus
IJCNN
2007
IEEE
14 years 1 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
EOR
2007
174views more  EOR 2007»
13 years 7 months ago
A Benders approach for the constrained minimum break problem
This paper presents a hybrid IP/CP algorithm for designing a double round robin schedule with a minimal number of breaks. Both mirrored and non-mirrored schedules with and without ...
Rasmus V. Rasmussen, Michael A. Trick
NIPS
2004
13 years 9 months ago
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space
A new distance measure between probability density functions (pdfs) is introduced, which we refer to as the Laplacian pdf distance. The Laplacian pdf distance exhibits a remarkabl...
Robert Jenssen, Deniz Erdogmus, José Carlos...