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» On Structural Analysis of Large Networks
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ICPR
2004
IEEE
16 years 6 months ago
Detection of Artificial Structures in Natural-Scene Images Using Dynamic Trees
We seek a framework that addresses localization, detection and recognition of man-made objects in natural-scene images in a unified manner. We propose to model artificial structur...
Michael C. Nechyba, Sinisa Todorovic
DOCENG
2006
ACM
15 years 11 months ago
Benefits of structured multimedia documents in IDTV: the end-user enrichment system
This paper presents a system that exploits the benefits of modelling multimedia presentations as structured documents within the context of interactive digital television systems....
Pablo César, Dick C. A. Bulterman, A. J. Ja...
JMLR
2010
134views more  JMLR 2010»
14 years 12 months ago
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
Analysis of causal effects between continuous-valued variables typically uses either autoregressive models or structural equation models with instantaneous effects. Estimation of ...
Aapo Hyvärinen, Kun Zhang, Shohei Shimizu, Pa...
BMCBI
2010
97views more  BMCBI 2010»
15 years 4 days ago
A semi-parametric Bayesian model for unsupervised differential co-expression analysis
Background: Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined ...
Johannes M. Freudenberg, Siva Sivaganesan, Michael...
IJAR
2011
86views more  IJAR 2011»
14 years 8 months ago
On open questions in the geometric approach to structural learning Bayesian nets
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...
Milan Studený, Jirí Vomlel