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ISVC
2010
Springer
13 years 4 months ago
Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape
In this paper, the well-known SIFT detector is extended with a bivariate feature localization. This is done by using function models that assume a Gaussian feature shape for the de...
Kai Cordes, Oliver Müller, Bodo Rosenhahn, J&...
SPLC
2007
13 years 7 months ago
Mapping Feature Models onto Component Models to Build Dynamic Software Product Lines
Systems such as adaptative and context–aware ones must adapt themselves to changing requirements at runtime. Modeling and implementing this kind of systems is a difficult opera...
Pablo Trinidad, Antonio Ruiz Cortés, Joaqu&...
PAMI
2006
215views more  PAMI 2006»
13 years 5 months ago
Bayesian Feature and Model Selection for Gaussian Mixture Models
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
SPLC
2007
13 years 7 months ago
A Quality Model for Evaluating Feature Models
This paper presents work in progress to construct a model for guiding and evaluating the quality of featureoriented models, called FMQ. Product line concepts are becoming increasi...
Christer Thörn
ICSEA
2009
IEEE
13 years 3 months ago
Integrating Quality Modeling with Feature Modeling in Software Product Lines
Due to the large number of possible variants in typical Software Product Lines (SPLs), the modeling of, explicit knowledge of, and predictability of the quality tradeoffs inherent ...
Joerg Bartholdt, Marcel Medak, Roy Oberhauser