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» Learning Visual Attributes
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187
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CVPR
2012
IEEE
13 years 4 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
133
Voted
BMCBI
2010
118views more  BMCBI 2010»
15 years 2 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
WWW
2010
ACM
15 years 9 months ago
Visual structure-based web page clustering and retrieval
Clustering and retrieval of web pages dominantly relies on analyzing either the content of individual web pages or the link structure between them. Some literature also suggests t...
Paul Bohunsky, Wolfgang Gatterbauer
PAKDD
2001
ACM
136views Data Mining» more  PAKDD 2001»
15 years 7 months ago
Determining Progression in Glaucoma Using Visual Fields
Abstract. The standardized visual field assessment, which measures visual function in 76 locations of the central visual area, is an important diagnostic tool in the treatment of ...
Andrew Turpin, Eibe Frank, Mark Hall, Ian H. Witte...
141
Voted
AAAI
2007
15 years 4 months ago
Template-Independent News Extraction Based on Visual Consistency
Wrapper is a traditional method to extract useful information from Web pages. Most previous works rely on the similarity between HTML tag trees and induced template-dependent wrap...
Shuyi Zheng, Ruihua Song, Ji-Rong Wen