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CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 7 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
CORR
2007
Springer
110views Education» more  CORR 2007»
15 years 6 months ago
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
Martin J. Wainwright
JUCS
2008
155views more  JUCS 2008»
15 years 6 months ago
Combining Classifiers in the ROC-space for Off-line Signature Verification
: In this work we present a strategy for off-line signature verification. It takes into account a writer-independent model which reduces the pattern recognition problem to a 2-clas...
Luiz S. Oliveira, Edson J. R. Justino, Robert Sabo...
JDWM
2006
104views more  JDWM 2006»
15 years 6 months ago
Navigation Rules for Exploring Large Multidimensional Data Cubes
Navigating through multidimensional data cubes is a nontrivial task. Although On-Line Analytical Processing (OLAP) provides the capability to view multidimensional data through ro...
Navin Kumar, Aryya Gangopadhyay, George Karabatis,...
IJBC
2007
90views more  IJBC 2007»
15 years 6 months ago
Extended Phase Diagram of the Lorenz Model
The parameter dependence of the various attractive solutions of the three variable nonlinear Lorenz model equations for thermal convection in Rayleigh-B´enard flow is studied. I...
H. R. Dullin, S. Schmidt, P. H. Richter, S. K. Gro...