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CORR
2008
Springer
234views Education» more  CORR 2008»
14 years 9 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
APCCM
2008
14 years 11 months ago
Differentiating Conceptual Modelling from Data Modelling, Knowledge Modelling and Ontology Modelling and a Notation for Ontology
This paper considers conceptual modelling for three purposes namely data modelling, knowledge modelling and ontology modelling. It differentiates between the nature of the concept...
Tharam S. Dillon, Elizabeth Chang, Maja Hadzic, Po...
GLOBECOM
2008
IEEE
15 years 4 months ago
Distributed Target Tracking with Imperfect Binary Sensor Networks
—We study target tracking with wireless binary sensor networks, in which each sensor can return only 1-bit information regarding target’s presence or absence in its sending ran...
Zijian Wang, Eyuphan Bulut, Boleslaw K. Szymanski
COLING
2008
14 years 11 months ago
Word Sense Disambiguation for All Words using Tree-Structured Conditional Random Fields
We propose a supervised word sense disambiguation (WSD) method using tree-structured conditional random fields (TCRFs). By applying TCRFs to a sentence described as a dependency t...
Jun Hatori, Yusuke Miyao, Jun-ichi Tsujii
ICASSP
2009
IEEE
15 years 4 months ago
Fast bayesian compressive sensing using Laplace priors
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...