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120
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ICIP
2008
IEEE
16 years 2 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
125
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IPMI
2009
Springer
16 years 1 months ago
Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model
In this paper, we propose a new nonparametric Bayesian framework to cluster white matter fiber tracts into bundles using a hierarchical Dirichlet processes mixture (HDPM) model. Th...
Carl-Fredrik Westin, W. Eric L. Grimson, Xiaogang ...
95
Voted
DCC
2004
IEEE
16 years 21 days ago
On the Entropy of a Hidden Markov Process
We study the entropy rate of a hidden Markov process (HMP) defined by observing the output of a binary symmetric channel whose input is a first-order binary Markov process. Despit...
Philippe Jacquet, Gadiel Seroussi, Wojciech Szpank...
95
Voted
HICSS
2009
IEEE
143views Biometrics» more  HICSS 2009»
15 years 8 months ago
Bridge Methods: Using a Balanced Project Practice Portfolio to Integrate Agile and Formal Process Methodologies
This paper examines the non-linear nature of progress on software projects. It asserts that this uneven accomplishment stems from the continuous need to drive value quickly in res...
Stephen J. Cohen, William H. Money
IPPS
2009
IEEE
15 years 7 months ago
Elastic scaling of data parallel operators in stream processing
We describe an approach to elastically scale the performance of a data analytics operator that is part of a streaming application. Our techniques focus on dynamically adjusting th...
Scott Schneider, Henrique Andrade, Bugra Gedik, Al...