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IJCNN
2007
IEEE
13 years 12 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
ICML
2003
IEEE
14 years 6 months ago
Kernel PLS-SVC for Linear and Nonlinear Classification
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Roman Rosipal, Leonard J. Trejo, Bryan Matthews
TNN
2008
129views more  TNN 2008»
13 years 5 months ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens
ICPR
2000
IEEE
13 years 10 months ago
Boundary Estimation from Intensity/Color Images with Algebraic Curve Models
A new concept and algorithm are presented for noniterative robust estimation of piecewise smooth curves of maximal edge strength in small image windows – typically  ¢¡£  to...
Tolga Tasdizen, David B. Cooper
CVPR
2005
IEEE
14 years 7 months ago
Feature Uncertainty Arising from Covariant Image Noise
Uncertainty estimates related to the position of image features are seeing increasing use in several computer vision problems. Many of these have been recast from standard least s...
R. Matt Steele, Christopher O. Jaynes