719 search results - page 43 / 144 » Solving Sparse Linear Constraints |
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TOG
2012
13 years 1 months ago
2012
We present an approach to high-level shape editing that adapts the structure of the shape while maintaining its global characteristics. Our main contribution is a new algebraic mo...
ICASSP
2008
IEEE
15 years 5 months ago
2008
IEEE
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
SIAMSC
2010
14 years 9 months ago
2010
A recursive acceleration method is proposed for multiplicative multilevel aggregation algorithms that calculate the stationary probability vector of large, sparse, and irreducible ...
KDD
2009
ACM
15 years 11 months ago
2009
ACM
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...