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» Primal-Dual methods for sparse constrained matrix completion
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FOCM
2011
175views more  FOCM 2011»
13 years 3 months ago
Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization
The matrix rank minimization problem has applications in many fields such as system identification, optimal control, low-dimensional embedding etc. As this problem is NP-hard in ...
Donald Goldfarb, Shiqian Ma
AMC
2005
87views more  AMC 2005»
13 years 8 months ago
Wavelet based preconditioners for sparse linear systems
A class of efficient preconditioners based on Daubechies family of wavelets for sparse, unsymmetric linear systems that arise in numerical solution of Partial Differential Equatio...
B. V. Rathish Kumar, Mani Mehra
MM
2010
ACM
177views Multimedia» more  MM 2010»
13 years 8 months ago
Image tag refinement towards low-rank, content-tag prior and error sparsity
The vast user-provided image tags on the popular photo sharing websites may greatly facilitate image retrieval and management. However, these tags are often imprecise and/or incom...
Guangyu Zhu, Shuicheng Yan, Yi Ma
CVPR
2012
IEEE
11 years 11 months ago
Finite Element based sequential Bayesian Non-Rigid Structure from Motion
Navier’s equations modelling linear elastic solid deformations are embedded within an Extended Kalman Filter (EKF) to compute a sequential Bayesian estimate for the Non-Rigid St...
Antonio Agudo, Begoña Calvo, J. M. M. Monti...
SIAMSC
2010
144views more  SIAMSC 2010»
13 years 7 months ago
A Fully Implicit Domain Decomposition Algorithm for Shallow Water Equations on the Cubed-Sphere
Abstract. Popular approaches for solving the shallow water equations (SWE) for climate modeling are explicit and semi-implicit methods, both have certain constraints on the time st...
Chao Yang, Jianwen Cao, Xiao-Chuan Cai