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» Solving Sparse Linear Constraints
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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
14 years 26 days ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
LSSC
2001
Springer
14 years 3 months ago
Solving Systems of Linear Algebraic Equations Using Quasirandom Numbers
In this paper we analyze a quasi-Monte Carlo method for solving systems of linear algebraic equations. It is well known that the convergence of Monte Carlo methods for numerical in...
Aneta Karaivanova, Rayna Georgieva
CVPR
2010
IEEE
14 years 7 months ago
Locality-constrained Linear Coding for Image Classification
The traditional SPM approach based on bag-of-features (BoF) must use nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effec...
Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv
AOR
2010
13 years 8 months ago
Sphere Methods for LP
The sphere method for solving linear programs operates with only a subset of constraints in the model in each iteration, and thus has the advantage of handling instances which may...
Katta G. Murty, Mohammad R. Oskoorouchi
ACPC
1999
Springer
14 years 3 months ago
Non-standard Parallel Solution Strategies for Distributed Sparse Linear Systems
Abstract. A number of techniques are described for solving sparse linear systems on parallel platforms. The general approach used is a domaindecomposition type method in which a pr...
Yousef Saad, Masha Sosonkina