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» Level-set methods for convex optimization
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ICASSP
2011
IEEE
14 years 7 months ago
Multiple-channel detection of a Gaussian time series over frequency-flat channels
This work addresses the problem of deciding whether a set of realizations of a vector-valued time series with unknown temporal correlation are spatially correlated or not. Speciï¬...
David Ramírez, Javier Vía, Ignacio S...
131
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CPAIOR
2010
Springer
15 years 6 months ago
An In-Out Approach to Disjunctive Optimization
Cutting plane methods are widely used for solving convex optimization problems and are of fundamental importance, e.g., to provide tight bounds for Mixed-Integer Programs (MIPs). T...
Matteo Fischetti, Domenico Salvagnin
CVPR
2006
IEEE
16 years 5 months ago
Visible Surface Reconstruction from Normals with Discontinuity Consideration
Given a dense set of imperfect normals obtained by photometric stereo or shape from shading, this paper presents an optimization algorithm which alternately optimizes until conver...
Tai-Pang Wu, Chi-Keung Tang
AUTOMATICA
2006
106views more  AUTOMATICA 2006»
15 years 3 months ago
Barrier certificates for nonlinear model validation
Abstract-- New methods for model validation of continuoustime nonlinear systems with uncertain parameters are presented in this paper. The methods employ functions of state-paramet...
Stephen Prajna
JMLR
2010
158views more  JMLR 2010»
14 years 10 months ago
Topology Selection in Graphical Models of Autoregressive Processes
An algorithm is presented for topology selection in graphical models of autoregressive Gaussian time series. The graph topology of the model represents the sparsity pattern of the...
Jitkomut Songsiri, Lieven Vandenberghe