25 search results - page 1 / 5 » Incorporating Constraints and Prior Knowledge into Factoriza... |
SLSFS
2005
Springer
13 years 10 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...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
3?D shape recovery of non-rigid surfaces from 3?D to 2?D correspondences is an under-constrained problem that requires prior knowledge of the possible deformations. State-of-the-a...
ICMLA
2008
13 years 6 months ago
2008
Independent Factor Analysis (IFA) is a well known method used to recover independent components from their linear observed mixtures without any knowledge on the mixing process. Su...
SIAMSC
2008
13 years 4 months ago
2008
We propose a distributed algorithm for solving Euclidean metric realization problems arising from large 3D graphs, using only noisy distance information, and without any prior kno...