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» Boosting with structural sparsity
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TSP
2010
13 years 2 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ISBI
2011
IEEE
12 years 11 months ago
Reconstruction of 3D tubular structures from cone-beam projections
A new method of reconstructing three-dimensional (3D) tubular structures from cone-beam projections is proposed in this paper. Minimal path method is applied to detect 2D tubular ...
Jia Li, Laurent D. Cohen
CVPR
2011
IEEE
13 years 4 months ago
Online Group-Structured Dictionary Learning
We develop a dictionary learning method which is (i) online, (ii) enables overlapping group structures with (iii) non-convex sparsity-inducing regularization and (iv) handles the ...
Zoltan Szabo, Barnabas Poczos, Andras Lorincz
ICASSP
2011
IEEE
12 years 11 months ago
Weighted and structured sparse total least-squares for perturbed compressive sampling
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
Hao Zhu, Georgios B. Giannakis, Geert Leus
CDC
2009
IEEE
154views Control Systems» more  CDC 2009»
14 years 24 days ago
On the optimal design of structured feedback gains for interconnected systems
— We consider the design of optimal static feedback gains for interconnected systems subject to architectural constraints on the distributed controller. These constraints are in ...
Makan Fardad, Fu Lin, Mihailo R. Jovanovic