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IJDMB
2007
119views more  IJDMB 2007»
13 years 10 months ago
Simulation study in Probabilistic Boolean Network models for genetic regulatory networks
: Probabilistic Boolean Network (PBN) is widely used to model genetic regulatory networks. Evolution of the PBN is according to the transition probability matrix. Steady-state (lon...
Shuqin Zhang, Wai-Ki Ching, Michael K. Ng, Tatsuya...
IJCV
2000
161views more  IJCV 2000»
13 years 10 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
ICRA
2010
IEEE
69views Robotics» more  ICRA 2010»
13 years 8 months ago
Probabilistic shadow information spaces
— This paper introduces a Bayesian filter that is specifically designed for counting targets that move outside of the field of view while performing a sensor sweep. Informatio...
Jingjin Yu, Steven M. LaValle
ACMSE
2006
ACM
14 years 2 months ago
Revisiting a limit on efficient quantum computation
In this paper, we offer an exposition of a theorem originally due to Adleman, Demarrais and Huang that shows that the quantum complexity class BQP (Bounded-error Quantum Polynomia...
Tarsem S. Purewal Jr.
FLAIRS
2004
13 years 11 months ago
Computing Marginals with Hierarchical Acyclic Hypergraphs
How to compute marginals efficiently is one of major concerned problems in probabilistic reasoning systems. Traditional graphical models do not preserve all conditional independen...
S. K. Michael Wong, Tao Lin