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NAACL
2010
13 years 5 months ago
Learning Dense Models of Query Similarity from User Click Logs
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...
ECCV
2010
Springer
14 years 24 days ago
Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections
Hough transform based object detectors learn a mapping from the image domain to a Hough voting space. Within this space, object hypotheses are formed by local maxima. The votes con...
COLING
2008
13 years 9 months ago
Metric Learning for Synonym Acquisition
The distance or similarity metric plays an important role in many natural language processing (NLP) tasks. Previous studies have demonstrated the effectiveness of a number of metr...
Nobuyuki Shimizu, Masato Hagiwara, Yasuhiro Ogawa,...
CVPR
2008
IEEE
14 years 9 months ago
Fast image search for learned metrics
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
Prateek Jain, Brian Kulis, Kristen Grauman
TIFS
2010
135views more  TIFS 2010»
13 years 2 months ago
Distance Metric Learning for Content Identification
This paper considers a distance metric learning (DML) algorithm for a fingerprinting system, which identifies a query content by finding the fingerprint in the database (DB) that m...
Dalwon Jang, Chang Dong Yoo, Ton Kalker