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BC
1998
111views more  BC 1998»
13 years 8 months ago
How to "hear" visual disparities: real-time stereoscopic spatial depth analysis using temporal resonance
Abstract. In a stereoscopic system, both eyes or cameras have a slightly di€erent view. As a consequence, small variations between the projected images exist (`disparities') ...
Bernd Porr, Alex Cozzi, Florentin Wörgöt...
CVPR
2007
IEEE
14 years 11 months ago
Image Matching via Saliency Region Correspondences
We introduce the notion of co-saliency for image matching. Our matching algorithm combines the discriminative power of feature correspondences with the descriptive power of matchi...
Alexander Toshev, Jianbo Shi, Kostas Daniilidis
ICIP
2009
IEEE
14 years 10 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...
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 9 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
SEMWEB
2007
Springer
14 years 3 months ago
OntoDNA: Ontology Alignment Results for OAEI 2007
OntoDNA is an automated ontology mapping and merging system that utilizes unsupervised data mining methods, comprising of Formal Concept analysis (FCA), Self-Organizing map (SOM) a...
Ching-Chieh Kiu, Chien-Sing Lee