112 search results - page 11 / 23 » Approximate methods for convex minimization problems with se... |
AUTOMATICA
2008
13 years 7 months ago
2008
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract—Hyperspectral unmixing aims at identifying the hidden spectral signatures (or endmembers) and their corresponding proportions (or abundances) from an observed hyperspect...
PAKDD
2004
ACM
14 years 25 days ago
2004
ACM
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
PODS
2003
ACM
14 years 7 months ago
2003
ACM
In recent years, the problem of indexing mobile objects has assumed great importance because of its relevance to a wide variety of applications. Most previous results in this area...
JMLR
2010
13 years 2 months ago
2010
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...