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EMMCVPR
2011
Springer
12 years 7 months ago
SlimCuts: GraphCuts for High Resolution Images Using Graph Reduction
Abstract. This paper proposes an algorithm for image segmentation using GraphCuts which can be used to efficiently solve labeling problems on high resolution images or resource-lim...
Björn Scheuermann, Bodo Rosenhahn
BMVC
2001
13 years 10 months ago
Illumination technique for optical dynamic range compression and offset reduction
This paper presents a novel illumination technique for image processing in environmentswhich are characterized by large intensity fluctuations and hence a high optical dynamic ra...
C. Koch, S.-B. Park, Tim J. Ellis, A. Georgiadis
CIKM
2010
Springer
13 years 5 months ago
Fast dimension reduction for document classification based on imprecise spectrum analysis
This paper proposes an algorithm called Imprecise Spectrum Analysis (ISA) to carry out fast dimension reduction for document classification. ISA is designed based on the one-sided...
Hu Guan, Bin Xiao, Jingyu Zhou, Minyi Guo, Tao Yan...
ACL
2010
13 years 5 months ago
Simple Semi-Supervised Training of Part-Of-Speech Taggers
Most attempts to train part-of-speech taggers on a mixture of labeled and unlabeled data have failed. In this work stacked learning is used to reduce tagging to a classification t...
Anders Søgaard
TON
2008
160views more  TON 2008»
13 years 7 months ago
Label space reduction in MPLS networks: how much can a single stacked label do?
Most network operators have considered reducing LSR label spaces (number of labels used) as a way of simplifying management of underlaying Virtual Private Networks (VPNs) and there...
Fernando Solano, Thomas Stidsen, Ramón Fabr...