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ICASSP
2011
IEEE
14 years 10 months ago
Characterizing physical-layer secrecy with unknown eavesdropper locations and channels
—We present a probabilistic framework for physical layer secrecy when the locations and channels of the eavesdroppers are unknown. The locations are modeled by a Poisson point pr...
Mounir Ghogho, Ananthram Swami
AAMAS
2011
Springer
14 years 10 months ago
Declarative programming for agent applications
This paper introduces the execution model of a declarative programming language intended for agent applications. Features supported by the language include functional and logic pro...
John W. Lloyd, Kee Siong Ng
ICCV
2001
IEEE
16 years 8 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
ICML
2009
IEEE
16 years 7 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
SMA
2003
ACM
132views Solid Modeling» more  SMA 2003»
15 years 12 months ago
Tight cocone: a water-tight surface reconstructor
Surface reconstruction from unorganized sample points is an important problem in computer graphics, computer aided design, medical imaging and solid modeling. Recently a few algor...
Tamal K. Dey, Samrat Goswami