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» Solving Consensus Using Structural Failure Models
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ICASSP
2011
IEEE
14 years 6 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 2 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
126
Voted
COMPSAC
2009
IEEE
15 years 9 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
136
Voted
MICCAI
2003
Springer
16 years 3 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 2 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