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» Nonlinear Mapping Networks
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CVPR
2011
IEEE
14 years 11 months ago
Learning invariance through imitation
Supervised methods for learning an embedding aim to map high-dimensional images to a space in which perceptually similar observations have high measurable similarity. Most approac...
Graham Taylor, Ian Spiro, Rob Fergus, Christoph Br...
CGA
2008
15 years 3 months ago
Mobile 3D City Maps
ion and abstraction. By the end of the 20th century, technology had advanced to the point where computerized methods had revolutionized surveying and mapmaking practices. Now, the ...
Antti Nurminen
MICCAI
2002
Springer
16 years 4 months ago
Performance Issues in Shape Classification
Shape comparisons of two groups of objects often have two goals: to create a classifier to separate the groups and to provide information that shows differences between classes. We...
Samson J. Timoner, Polina Golland, Ron Kikinis, Ma...
NIPS
1993
15 years 4 months ago
Surface Learning with Applications to Lipreading
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
Christoph Bregler, Stephen M. Omohundro
APNOMS
2006
Springer
15 years 5 months ago
End-to-End QoS Guaranteed Service in WLAN and 3GPP Interworking Network
In this paper, we model the end-to-end QoS provisioning mechanisms in the WLAN and 3GPP interworking network. For the end-to-end QoS guaranteed service, we model the control plane ...
Sung-Min Oh, Jae-Hyun Kim, You-Sun Hwang, Hyeyeon ...