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» Probabilistic Object Tracking Using Multiple Features
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SCANGIS
2003
14 years 11 months ago
Matching of Datasets
A multiple representation database contains several geographic datasets defined at different resolutions covering the same area. Objects within the different datasets that repre...
Mats Dunkars
JMLR
2010
140views more  JMLR 2010»
14 years 4 months ago
Learning From Crowds
For many supervised learning tasks it may be infeasible (or very expensive) to obtain objective and reliable labels. Instead, we can collect subjective (possibly noisy) labels fro...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerard...
FGR
2008
IEEE
301views Biometrics» more  FGR 2008»
15 years 4 months ago
3D facial geometry recovery via group-wise optical flow
We describe an algorithm for automatically finding correspondences from face video sequences. This method is useful to many applications such as face tracking, face modeling and ...
Hui Fang, Nicholas Costen, David Cristinacce, John...
CHI
2002
ACM
15 years 10 months ago
Camping in the digital wilderness: tents and flashlights as interfaces to virtual worlds
A projection screen in the shape of a tent provides children with a shared immersive experience of a virtual world based on the metaphor of camping. RFID aerials at its entrances ...
Jonathan Green, Holger Schnädelbach, Boriana ...
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
15 years 4 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...