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JMLR
2012
11 years 11 months ago
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
Avneesh Singh Saluja, Priya Krishnan Sundararajan,...
ICPR
2008
IEEE
14 years 10 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
DATE
2007
IEEE
93views Hardware» more  DATE 2007»
14 years 3 months ago
Minimum-energy LDPC decoder for real-time mobile application
— This paper presents a low-power real-time decoder that provides constant-time processing of each frame using dynamic voltage and frequency scaling. The design uses known capaci...
Weihuang Wang, Gwan Choi
WSC
2000
13 years 10 months ago
Avatar kinematics modeling for telecollaborative virtual environments
This paper introduced the application of a more efficient mathematical representation of the kinematics of avatars, or digital human beings, in telecollaborative virtual reality e...
Cristian Luciano, Pat Banerjee
EMMCVPR
2001
Springer
14 years 1 months ago
A Double-Loop Algorithm to Minimize the Bethe Free Energy
Recent work (Yedidia, Freeman, Weiss [22]) has shown that stable points of belief propagation (BP) algorithms [12] for graphs with loops correspond to extrema of the Bethe free ene...
Alan L. Yuille