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125
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KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 2 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
ICDE
2006
IEEE
166views Database» more  ICDE 2006»
16 years 3 months ago
WebIQ: Learning from the Web to Match Deep-Web Query Interfaces
Integrating Deep Web sources requires highly accurate semantic matches between the attributes of the source query interfaces. These matches are usually established by comparing th...
Wensheng Wu, AnHai Doan, Clement T. Yu
116
Voted
CVPR
2005
IEEE
16 years 4 months ago
Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Non-Overlapping Cameras
This paper proposes a novel method for matching road vehicles between two non-overlapping cameras. The matching problem is formulated as a same-different classification problem: p...
Ying Shan, Harpreet S. Sawhney, Rakesh Kumar
ECCV
2010
Springer
15 years 2 months ago
Boosting Chamfer Matching by Learning Chamfer Distance Normalization
We propose a novel technique that significantly improves the performance of oriented chamfer matching on images with cluttered background. Different to other matching methods, whic...
Tianyang Ma, Xingwei Yang, Longin Jan Latecki
121
Voted
CIKM
2005
Springer
15 years 7 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia