CDC
2010
IEEE
13 years 7 months ago
2010
IEEE
In the past decade, moving horizon estimation (MHE) has emerged as a powerful technique for estimating the state of a dynamical system in the presence of nonlinearities and disturb...
ACCV
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Estimation using homogeneous entities has to cope with obstacles such as singularities of covariance matrices and redundant parametrizations which do not allow an immedia...
EUSFLAT
2009
13 years 10 months ago
2009
Abstract-- the paper presents a possibility formulation of oneparameter estimation that unifies some usual probability formulations. Point and confidence interval estimation are un...
SENSYS
2010
ACM
13 years 10 months ago
2010
ACM
This paper considers the problem of estimating the power breakdowns for the main appliances inside a building using a small number of power meters and the knowledge of the ON/OFF ...
PIMRC
2010
IEEE
13 years 10 months ago
2010
IEEE
This paper tackles the problem of fast varying channel estimation in LTE systems. Particular attention is given to downlink transmission where OFDMA is used as the multiple access ...
ICPADS
2010
IEEE
13 years 10 months ago
2010
IEEE
Counting or estimating the number of tags is crucial for RFID system. Researchers have proposed several fast cardinality estimation schemes to estimate the quantity of a batch of ...
NN
2010
Springer
13 years 10 months ago
2010
Springer
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
Least-squares estimation has always been the main approach when applying prediction error methods (PEM) in the identification of linear dynamical systems. Regardless of the estim...
PVLDB
2008
13 years 11 months ago
2008
Though inevitable for effective cost-based query rewriting, the derivation of meaningful cardinality estimates has remained a notoriously hard problem in the context of XQuery. By...
NECO
2007
13 years 11 months ago
2007
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...