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» A Term Recognition Approach to Acronym Recognition
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92
Voted
CVPR
2006
IEEE
16 years 1 months ago
Applying Ensembles of Multilinear Classifiers in the Frequency Domain
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
Christian Bauckhage, Thomas Käster, John K. T...
90
Voted
CVPR
2006
IEEE
16 years 1 months ago
Learning Semantic Patterns with Discriminant Localized Binary Projections
In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
Shuicheng Yan, Tianqiang Yuan, Xiaoou Tang
CVPR
2008
IEEE
16 years 1 months ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu
GIS
2009
ACM
16 years 22 days ago
From GPS Traces to a Routable Road Map
This paper presents a method for automatically converting raw GPS traces from everyday vehicles into a routable road network. The method begins by smoothing raw GPS traces using a...
Lili Cao, John Krumm
178
Voted
GIS
2005
ACM
16 years 21 days ago
Automatic extraction of road intersections from raster maps
Numerous raster maps are available on the Internet, but the geographic coordinates of the maps are often unknown. In order to determine the precise location of a raster map, we ex...
Yao-Yi Chiang, Craig A. Knoblock, Ching-Chien Chen