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» Convex Relaxations for Subset Selection
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SIAMJO
2008
136views more  SIAMJO 2008»
13 years 5 months ago
Relaxed Alternating Projection Methods
Let A and B be nonempty, convex and closed subsets of a Hilbert space H. In the practical considerations we need to find an element of the intersection A B or, more general, to s...
Andrzej Cegielski, Agnieszka Suchocka
ISBI
2002
IEEE
14 years 6 months ago
A new convergent MAP reconstruction algorithm for emission tomography using ordered subsets and separable surrogates
We investigate a new, fast and provably convergentMAP reconstruction algorithm for emission tomography. The new algorithm, termed C-OSEM has its origin in the alternating algorith...
Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
ICASSP
2008
IEEE
14 years 18 days ago
Maximum entropy relaxation for multiscale graphical model selection
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
SDM
2010
SIAM
168views Data Mining» more  SDM 2010»
13 years 4 months ago
Convex Principal Feature Selection
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...
COCOS
2003
Springer
148views Optimization» more  COCOS 2003»
13 years 11 months ago
Convex Programming Methods for Global Optimization
We investigate some approaches to solving nonconvex global optimization problems by convex nonlinear programming methods. We assume that the problem becomes convex when selected va...
John N. Hooker