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» Estimating random variables from random sparse observations
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ICASSP
2010
IEEE
13 years 7 months ago
Under-determined convolutive blind source separation using spatial covariance models
This paper deals with the problem of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency d...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
RECOMB
2001
Springer
14 years 7 months ago
Finding motifs using random projections
motif discovery problem abstracts the task of discovering short, conserved sites in genomic DNA. Pevzner and Sze recently described a precise combinatorial formulation of motif di...
Jeremy Buhler, Martin Tompa
ICIP
2008
IEEE
14 years 2 months ago
Compressed sensing for multi-view tracking and 3-D voxel reconstruction
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Ce...
EUSFLAT
2009
175views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
The Minimization of the Risk of Falling in Portfolios under Uncertainty
Abstract-- A portfolio model to minimize the risk of falling under uncertainty is discussed. The risk of falling is represented by the value-at-risk of rate of return. Introducing ...
Yuji Yoshida
JMLR
2008
120views more  JMLR 2008»
13 years 7 months ago
Causal Reasoning with Ancestral Graphs
Causal reasoning is primarily concerned with what would happen to a system under external interventions. In particular, we are often interested in predicting the probability distr...
Jiji Zhang