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» Object detection at multiple scales improves accuracy
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WWW
2005
ACM
15 years 10 months ago
Algorithmic detection of semantic similarity
Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic meas...
Ana Gabriela Maguitman, Filippo Menczer, Heather R...
WACV
2005
IEEE
15 years 3 months ago
Automatic Recognition of Colloquial Australian Sign Language
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and e...
Eun-Jung Holden, Gareth Lee, Robyn A. Owens
PVLDB
2008
99views more  PVLDB 2008»
14 years 9 months ago
Industry-scale duplicate detection
Duplicate detection is the process of identifying multiple representations of a same real-world object in a data source. Duplicate detection is a problem of critical importance in...
Melanie Weis, Felix Naumann, Ulrich Jehle, Jens Lu...
EMNLP
2011
13 years 9 months ago
Relation Extraction with Relation Topics
This paper describes a novel approach to the semantic relation detection problem. Instead of relying only on the training instances for a new relation, we leverage the knowledge l...
Chang Wang, James Fan, Aditya Kalyanpur, David Gon...
IUI
2009
ACM
15 years 6 months ago
Subobject detection through spatial relationships on mobile phones
We present a novel image classification technique for detecting multiple objects (called subobjects) in a single image. In addition to image classifiers, we apply spatial relati...
Benjamin Brombach, Erich Bruns, Oliver Bimber