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» Comparing segmentations by applying randomization techniques
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TIP
2008
125views more  TIP 2008»
13 years 7 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte
ISVC
2009
Springer
14 years 2 months ago
Adaptive Contextual Energy Parameterization for Automated Image Segmentation
Image segmentation techniques are predominately based on parameter-laden optimization processes. The segmentation objective function traditionally involves parameters (i.e. weights...
Josna Rao, Ghassan Hamarneh, Rafeef Abugharbieh
HISB
2011
92views more  HISB 2011»
12 years 7 months ago
Unsupervised Grow-Cut: Cellular Automata-Based Medical Image Segmentation
— This paper presents a new cellular automata-based unsupervised image segmentation technique that is motivated by the interactive grow-cut algorithm. In contrast to the traditio...
Payel Ghosh, Sameer Antani, L. Rodney Long, George...
ICASSP
2009
IEEE
14 years 2 months ago
Conditional random fields for the prediction of signal peptide cleavage sites
Correct prediction of signal peptide cleavage sites has a significant impact on drug design. State-of-the-art approaches to cleavage site prediction typically use generative mode...
Man-Wai Mak, Sun-Yuan Kung
ACL
2006
13 years 9 months ago
Subword-Based Tagging for Confidence-Dependent Chinese Word Segmentation
We proposed a subword-based tagging for Chinese word segmentation to improve the existing character-based tagging. The subword-based tagging was implemented using the maximum entr...
Ruiqiang Zhang, Gen-ichiro Kikui, Eiichiro Sumita