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ECML
2004
Springer
15 years 10 months ago
Efficient Hyperkernel Learning Using Second-Order Cone Programming
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
Ivor W. Tsang, James T. Kwok
149
Voted
MICCAI
2000
Springer
15 years 10 months ago
Retrospective Correction of MR Intensity Inhomogeneity by Information Minimization
In this paper, the problem of retrospective correction of intensity inhomogeneity in magnetic resonance (MR) images is addressed. A novel model-based correction method is proposed,...
Bostjan Likar, Max A. Viergever, Franjo Pernus
158
Voted
JMIV
2007
83views more  JMIV 2007»
15 years 6 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore
NABIC
2010
15 years 1 months ago
Evolutionary design of edge detector using rule-changing Cellular automata
A new design method for Cellular automata (CA) rules are described. We have already proposed a method for designing the transition rules of two-dimensional 256-state CA for graysca...
Shohei Sato, Hitoshi Kanoh
CVPR
2010
IEEE
16 years 2 months ago
Covering Trees and Lower-bounds on Quadratic Assignment
Many computer vision problems involving feature correspondence among images can be formulated as an assignment problem with a quadratic cost function. Such problems are computatio...
Julian Yarkony, Charless Fowlkes, Alex Ihler