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» Solving Consensus Using Structural Failure Models
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ICASSP
2011
IEEE
14 years 8 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
CORR
2010
Springer
130views Education» more  CORR 2010»
15 years 4 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun
COMPSAC
2009
IEEE
15 years 11 months ago
System Safety Requirements as Control Structures
Along with the popularity of software-intensive systems, the interactions between system components and between humans and software applications are becoming more and more complex...
Zhe Chen, Gilles Motet
MICCAI
2003
Springer
16 years 5 months ago
Establishing Local Correspondences towards Compact Representations of Anatomical Structures
Computer-aided diagnosis is often based on comparing a structure of interest with prior models. Such a comparison requires automatic techniques in determining prior models from a s...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
BMCBI
2008
93views more  BMCBI 2008»
15 years 4 months ago
Homology modelling of protein-protein complexes: a simple method and its possibilities and limitations
Background: Structure-based computational methods are needed to help identify and characterize protein-protein complexes and their function. For individual proteins, the most succ...
Guillaume Launay, Thomas Simonson