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CVPR
2005
IEEE
16 years 6 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
ICIP
2009
IEEE
16 years 5 months ago
Bim: Image Matching Using Biological Gene Sequence Alignment
Matching two images with similar contents is one of the most fundamental tasks in image processing. Due to its importance, in recent years, many novel techniques have been propose...
WWW
2003
ACM
16 years 5 months ago
Detecting Near-replicas on the Web by Content and Hyperlink Analysis
The presence of replicas or near-replicas of documents is very common on the Web. Documents may be replicated completely or partially for different reasons (versions, mirrors, etc...
Ernesto Di Iorio, Michelangelo Diligenti, Marco Go...
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 5 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
DCC
2006
IEEE
16 years 4 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley