ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Blind extraction of quaternion-valued latent sources is addressed based on their local temporal properties. The extraction criterion is based on the minimum mean square widely lin...
TWC
2010
12 years 11 months ago
2010
The performance of multiple-input multiple-output (MIMO) systems using spatial multiplexing is analyzed under channel prediction errors. We derive exact closed-form expressions for...
JOCN
2010
13 years 3 months ago
2010
■ Knowledge about cause and effect relationships (e.g., virus– epidemic) is essential for predicting changes in the environment and for anticipating the consequences of events...
TIT
2002
13 years 4 months ago
2002
We consider the problem of sequential linear prediction of real-valued sequences under the square-error loss function. For this problem, a prediction algorithm has been demonstrate...
TVCG
2008
13 years 4 months ago
2008
We use our hands to manipulate objects in our daily life. The hand is capable of accomplishing diverse tasks such as pointing, gripping, twisting, and tearing. However, there is no...
JMLR
2008
13 years 4 months ago
2008
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
IJON
2006
13 years 4 months ago
2006
This paper starting from the very first principle presents a derivation of an equation estimating of the final prediction error for a neural network under the recursive least squa...
CSDA
2008
13 years 4 months ago
2008
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
CSDA
2010
13 years 4 months ago
2010
Robust estimators of the prediction error of a linear model are proposed. The estimators are based on the resampling techniques cross-validation and bootstrap. The robustness of t...
BMCBI
2007
13 years 4 months ago
2007
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...