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» Learning a Classification Model for Segmentation
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BMCBI
2010
135views more  BMCBI 2010»
15 years 6 months ago
A classification approach for genotyping viral sequences based on multidimensional scaling and linear discriminant analysis
Background: Accurate classification into genotypes is critical in understanding evolution of divergent viruses. Here we report a new approach, MuLDAS, which classifies a query seq...
Ji Woong Kim, Yongju Ahn, Kichan Lee, Sung-Hee Par...
CORR
2010
Springer
140views Education» more  CORR 2010»
15 years 6 months ago
Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques
We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that t...
João Carreira, Adrian Ion, Cristian Sminchi...
IJON
2006
71views more  IJON 2006»
15 years 6 months ago
A segmentation algorithm for zebra finch song at the note level
Songbirds have been widely used as a model for studying neuronal circuits that relate to vocal learning and production. An important component of this research relies on quantitat...
Ping Du, Todd W. Troyer
CVPR
2011
IEEE
14 years 9 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff

Publication
164views
14 years 5 months ago
A Statistical Overlap Prior for Variational Image Segmentation
This study investigates variational image segmentation with an original data term, referred to as statistical overlap prior, which measures the conformity of overlap between the no...
Ismail Ben Ayed, Shuo Li and Ian Ross