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» Causal Approximations
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ICIP
2009
IEEE
15 years 10 months ago
Modified Compressive Sensing For Real-time Dynamic Mr Imaging
In this work, we propose algorithms to recursively and causally reconstruct a sequence of natural images from a reduced number of linear projection measurements taken in a domain ...
CVPR
2010
IEEE
15 years 5 months ago
Spike Train Driven Dynamical Models for Human Actions
We investigate dynamical models of human motion that can support both synthesis and analysis tasks. Unlike coarser discriminative models that work well when action classes are ...
Michalis Raptis, Kamil Wnuk , Stefano Soatto
WABI
2007
Springer
109views Bioinformatics» more  WABI 2007»
15 years 3 months ago
A Novel Method for Signal Transduction Network Inference from Indirect Experimental Evidence
In this paper we introduce a new method of combined synthesis and inference of biological signal transduction networks. A main idea of our method lies in representing observed cau...
Réka Albert, Bhaskar DasGupta, Riccardo Don...
71
Voted
LREC
2010
179views Education» more  LREC 2010»
14 years 11 months ago
Building a Bank of Semantically Encoded Narratives
We propose a methodology for a novel type of discourse annotation whose model is tuned to the analysis of a text as narrative. This is intended to be the basis of a "story ba...
David K. Elson, Kathleen McKeown
103
Voted
FORTE
2004
14 years 11 months ago
Symbolic Diagnosis of Partially Observable Concurrent Systems
Abstract. Monitoring large distributed concurrent systems is a challenging task. In this paper we formulate (model-based) diagnosis by means of hidden state history reconstruction,...
Thomas Chatain, Claude Jard