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» A Theory of Mean Field Approximation
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SIGIR
2005
ACM
15 years 3 months ago
A Markov random field model for term dependencies
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
Donald Metzler, W. Bruce Croft
ICSE
2011
IEEE-ACM
14 years 1 months ago
Inference of field initialization
A raw object is partially initialized, with only some fields set to legal values. It may violate its object invariants, such as that a given field is non-null. Programs often ma...
Fausto Spoto, Michael D. Ernst
DAC
1998
ACM
15 years 11 months ago
Phase Noise in Oscillators: A Unifying Theory and Numerical Methods for Characterisation
Phase noise is a topic of theoretical and practical interest in electronic circuits, as well as in other fields such as optics. Although progress has been made in understanding th...
Alper Demir, Amit Mehrotra, Jaijeet S. Roychowdhur...
BMVC
2010
14 years 8 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
JCC
2002
127views more  JCC 2002»
14 years 9 months ago
Effective Born radii in the generalized Born approximation: The importance of being perfect
: Generalized Born (GB) models provide, for many applications, an accurate and computationally facile estimate of the electrostatic contribution to aqueous solvation. The GB models...
Alexey Onufriev, David A. Case, Donald Bashford