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153
Voted
ICCV
2001
IEEE
16 years 5 months ago
2001
IEEE
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
179
Voted
BMCBI
2010
14 years 10 months ago
2010
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
146
Voted
BMVC
2000
15 years 5 months ago
2000
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
153
Voted
TAGT
1998
Springer
15 years 8 months ago
1998
Springer
Graphs are a commonly used formalism for modeling many different kinds of static and dynamic data. In many applications, data modeling can be improved by using hierarchically struc...
146
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KDD
2002
ACM
16 years 4 months ago
2002
ACM
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...