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EMNLP
2008
15 years 6 months ago
Learning with Probabilistic Features for Improved Pipeline Models
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
Razvan C. Bunescu
IVC
2007
95views more  IVC 2007»
15 years 4 months ago
Models from image triplets using epipolar gradient features
In an application where sparse matching of feature points is used towards fast scene reconstruction, the choice of the type of features to be matched has an important impact on th...
Étienne Vincent, Robert Laganière
ICSR
2004
Springer
15 years 10 months ago
XML-Based Feature Modelling
This paper describes a feature modelling technique aimed at modelling the software assets behind a product family. The proposed technique is distinctive in five respects. First, it...
Vaclav Cechticky, Alessandro Pasetti, O. Rohlik, W...
TASE
2010
IEEE
14 years 11 months ago
A Semantic Feature Model in Concurrent Engineering
Concurrent engineering (CE) is a methodology applied to product lifecycle development so that high quality, well designed products can be provided at lower prices and in less time....
Yong-Jin Liu, Kam-Lung Lai, Gang Dai, Matthew Ming...
FGR
2008
IEEE
254views Biometrics» more  FGR 2008»
15 years 5 months ago
Design sparse features for age estimation using hierarchical face model
A key point in automatic age estimation is to design feature set essential to age perception. To achieve this goal, this paper builds up a hierarchical graphical face model for fa...
Jin-Li Suo, Tianfu Wu, Song Chun Zhu, Shiguang Sha...