84 search results - page 4 / 17 » Robust Matrix Decomposition with Outliers |
ACIVS
2006
Springer
14 years 1 months ago
2006
Springer
In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the best known and most used method. Although FCM is a very useful method, it is sensitive to noise and outliers so that W...
ECIR
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
We analyze a class of estimators based on a convex relaxation for solving highdimensional matrix decomposition problems. The observations are the noisy realizations of the sum of ...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
In the recent work of Candes et al, the problem of recovering low rank matrix corrupted by i.i.d. sparse outliers is studied and a very elegant solution, principal component pursui...
INFORMATICALT
2008
13 years 7 months ago
2008
Abstract. This paper presents a novel robust digital image watermarking scheme using subsampling and nonnegative matrix factorization. Firstly, subsampling is used to construct a s...