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MRCO
2005
Springer
15 years 12 months ago
A Context Model for Personal Knowledge Management Applications
In the research project EPOS1 we build a pro-active, contextsensitive support system to aid the user with his knowledge work, which is mostly about searching, reading, creating, an...
Sven Schwarz
SUM
2009
Springer
16 years 27 days ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
ICPR
2004
IEEE
16 years 7 months ago
A Fast Discriminant Approach to Active Object Recognition and Pose Estimation
This paper presents a new criterion for viewpoint selection in the context of active Bayesian object recognition and pose estimation. Recognition is performed by probabilistically...
Catherine Laporte, Rupert Brooks, Tal Arbel
AAAI
2004
15 years 7 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
15 years 12 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin