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JAIR
2006
92views more  JAIR 2006»
13 years 8 months ago
Dynamic Local Search for the Maximum Clique Problem
In this paper, we introduce DLS-MC, a new stochastic local search algorithm for the maximum clique problem. DLS-MC alternates between phases of iterative improvement, during which...
Wayne J. Pullan, Holger H. Hoos
DAGM
2006
Springer
14 years 12 days ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
FTCGV
2011
122views more  FTCGV 2011»
13 years 6 days ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
IBPRIA
2007
Springer
14 years 2 months ago
Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...
Sónia Pelizzari, José M. Bioucas-Dia...
CORR
2007
Springer
75views Education» more  CORR 2007»
13 years 8 months ago
Wavelet Based Semi-blind Channel Estimation For Multiband OFDM
— This paper introduces an expectation-maximization (EM) algorithm within a wavelet domain Bayesian framework for semi-blind channel estimation of multiband OFDM based UWB commun...
Sajad Sadough, Mahieddine Ichir, Emmanuel Jaffrot,...