1236 search results - page 52 / 248 » Robust estimation for sparse data |
AIPR
2004
IEEE
15 years 1 months ago
2004
IEEE
Successful Unmanned Ground Vehicle (UGV) navigation in urban areas requires the competence of the vehicle to cope with Global Positioning System (GPS) outages and/or unreliable po...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Missing data techniques have been recently applied to speaker recognition to increase performance in noisy environments. The drawback of these techniques is the vulnerability of t...
BMCBI
2007
2007
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
14 years 10 months ago
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...