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WACV
2005
IEEE
15 years 7 months ago
A Model-Based Interactive Object Segmentation Procedure
A global parametric shape model (boundary) of the object is optimized according to evidence accumulated from local features and the prior probability of the model parameters learn...
Jie Zou
IDA
2003
Springer
15 years 6 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
ECCV
2010
Springer
15 years 6 months ago
Inferring 3D Shapes and Deformations from Single Views
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
96
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TGC
2007
Springer
15 years 7 months ago
Elimination of Ghost Variables in Program Logics
Abstract. Ghost variables are assignable variables that appear in program annotations but do not correspond to physical entities. They are used to facilitate specification and ver...
Martin Hofmann, Mariela Pavlova
ICCV
2011
IEEE
14 years 1 months ago
Tabula Rasa: Model Transfer for Object Category Detection
Our objective is transfer training of a discriminatively trained object category detector, in order to reduce the number of training images required. To this end we propose three ...
Yusuf Aytar, Andrew Zisserman