84 search results - page 2 / 17 » Robust Matrix Decomposition with Outliers |
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
We introduce the Tsallis divergence error measure in the context of pLSA matrix and tensor decompositions showing much improved performance in the presence of noise. The focus of ...
JISE
2007
13 years 5 months ago
2007
JACM
2011
12 years 8 months ago
2011
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
CSDA
2007
13 years 5 months ago
2007
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
DICTA
2003
13 years 6 months ago
2003
In this paper, we propose a robust method to estimate the fundamental matrix in the presence of outliers. The new method uses random minimum subsets as a search engine to find inli...