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» Robust estimation for sparse data
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CDC
2008
IEEE
15 years 4 months ago
Recursive estimation of terrestrial magnetic and electric potentials
— In this paper we recursively estimate the magnetic and electric potential of the Earth’s Arctic region. We construct estimates based on data gathered from over 85 magnetomete...
Anthony M. D'Amato, Bruno Otávio Soares Tei...
BMCBI
2011
14 years 4 months ago
Multiclass classification of microarray data samples with a reduced number of genes
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...
Elizabeth Tapia, Leonardo Ornella, Pilar Bulacio, ...
ACL
2012
13 years 8 days ago
Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model
We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions...
William Yang Wang, Elijah Mayfield, Suresh Naidu, ...
CORR
2010
Springer
210views Education» more  CORR 2010»
14 years 10 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
AAAI
2011
13 years 10 months ago
Sparse Matrix-Variate t Process Blockmodels
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
Zenglin Xu, Feng Yan, Yuan Qi