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ICIP
2008
IEEE
16 years 6 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
OSDI
2004
ACM
16 years 4 months ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
EDBT
2002
ACM
139views Database» more  EDBT 2002»
16 years 4 months ago
Aggregate Processing of Planar Points
Abstract. Aggregate window queries return summarized information about objects that fall inside a query rectangle (e.g., the number of objects instead of their concrete ids). Tradi...
Yufei Tao, Dimitris Papadias, Jun Zhang
126
Voted
DCC
2004
IEEE
16 years 4 months 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...
141
Voted
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
15 years 11 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou