28 search results - page 3 / 6 » The sum-of-increments constraint in the consecutive-ones mat... |
SLSFS
2005
Springer
13 years 12 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
PARA
1995
Springer
13 years 10 months ago
1995
Springer
Coarse grain parallelism inherent in the solution of Linear Programming (LP) problems with block angular constraint matrices has been exploited in recent research works. However, t...
SMI
2006
IEEE
14 years 13 days ago
2006
IEEE
In this paper, we propose a constrained least squares approach for stably computing Laplacian deformation with strict positional constraints. In the existing work on Laplacian def...
ISCAS
2008
IEEE
14 years 25 days ago
2008
IEEE
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
NIPS
2008
13 years 7 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...