411 search results - page 28 / 83 » Rank Estimation in Missing Data Matrix Problems |
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
STOC
2009
ACM
14 years 8 months ago
2009
ACM
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
TSP
2010
13 years 2 months ago
2010
Abstract--In this paper, the problem of estimating direction-ofarrival (DOA) of multiple uncorrelated sources from single antenna power measurements is addressed. Utilizing the fac...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...