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CEC
2008
IEEE
14 years 3 months ago
A feasibility-preserving local search operator for constrained discrete optimization problems
Abstract— Meta-heuristic optimization approaches are commonly applied to many discrete optimization problems. Many of these optimization approaches are based on a local search op...
Martin Lukasiewycz, Michael Glaß, Christian ...
ICPR
2002
IEEE
14 years 9 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
NIPS
2003
13 years 10 months ago
Learning with Local and Global Consistency
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...
EMMCVPR
2011
Springer
12 years 8 months ago
Curvature Regularization for Curves and Surfaces in a Global Optimization Framework
Length and area regularization are commonplace for inverse problems today. It has however turned out to be much more difficult to incorporate a curvature prior. In this paper we pr...
Petter Strandmark, Fredrik Kahl
CORR
2002
Springer
113views Education» more  CORR 2002»
13 years 8 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...