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IJCV
2010
206views more  IJCV 2010»
13 years 6 months ago
From Local Kernel to Nonlocal Multiple-Model Image Denoising
Abstract We review the evolution of the nonparametric regression modeling in imaging from the local Nadaraya-Watson kernel estimate to the nonlocal means and further to transform-d...
Vladimir Katkovnik, Alessandro Foi, Karen Egiazari...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 1 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
CAISE
2004
Springer
14 years 1 months ago
A Motivation for Multiple Activity Instantiation in BPEL4WS Processes
We suggest to extend BPEL4WS with structured activities for multiple instantiation since this is a crucial feature of a business process modelling language. In particular, we propo...
Jan Mendling, Mark Strembeck, Gustaf Neumann
ML
2008
ACM
162views Machine Learning» more  ML 2008»
13 years 7 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch
ISBI
2011
IEEE
12 years 11 months ago
Principal components regression: Multivariate, gene-based tests in imaging genomics
In imaging genomics, there have been rapid advances in genome-wide, image-wide searches for genes that influence brain structure. Most efforts focus on univariate tests that treat...
Derrek P. Hibar, Jason L. Stein, Omid Kohannim, Ne...