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SEKE
2004
Springer
15 years 9 months ago
Grammatically Interpreting Feature Compositions
Feature modeling is a popular domain analysis method for describing the commonality and variability among the domain products. The current formalisms of feature modelling do not ha...
Wei Zhao, Barrett R. Bryant, Fei Cao, Rajeev R. Ra...
TRECVID
2007
15 years 5 months ago
ENST/UOB/LU@TRECVID2007 HIGH LEVEL FEATURE EXTRACTION USING 2-LEVEL PIECEWISE GMM
We describe a high level feature extraction system for video. Video sequences are modeled using Gaussian Mixture Models. We have used those models in the past to segment video seq...
George Yazbek, Georges Kfoury, Gabriel Alam, Chafi...
ICANN
2009
Springer
15 years 10 months ago
Learning Features by Contrasting Natural Images with Noise
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
Michael Gutmann, Aapo Hyvärinen
AIEDAM
2006
95views more  AIEDAM 2006»
15 years 4 months ago
Constraint solving for direct manipulation of features
In current commercial feature modeling systems, support for direct manipulation of features is not commonly available. This is partly due to the strong reliance of such systems on...
Daniel Lourenço, Pedro Oliveira, Alex Noort...
ICIP
2007
IEEE
16 years 5 months ago
Local or Global 3D Face and Facial Feature Tracker
We present in this paper a solution for 3D face and facial feature tracking using canonical correlation analysis and a 3D geometric model. This model is controlled with 17 paramet...
Franck Davoine, José Alonso Ybá&ntil...