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CDC
2010
IEEE
210views Control Systems» more  CDC 2010»
9 years 1 months ago
Advances in moving horizon estimation for nonlinear systems
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...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...
ACCV
2010
Springer
9 years 2 months ago
Minimal Representations for Uncertainty and Estimation in Projective Spaces
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...
Wolfgang Förstner
EUSFLAT
2009
103views Fuzzy Logic» more  EUSFLAT 2009»
9 years 4 months ago
Possibility Distribution: a unified representation for parameter estimation
Abstract-- the paper presents a possibility formulation of oneparameter estimation that unifies some usual probability formulations. Point and confidence interval estimation are un...
Gilles Mauris
SENSYS
2010
ACM
9 years 4 months ago
Estimating building consumption breakdowns using ON/OFF state sensing and incremental sub-meter deployment
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 ...
Deokwoo Jung, Andreas Savvides
PIMRC
2010
IEEE
9 years 4 months ago
Fast varying channel estimation in downlink LTE systems
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 ...
Youssef El Hajj Shehadeh, Serdar Sezginer
ICPADS
2010
IEEE
9 years 4 months ago
Utilizing RF Interference to Enable Private Estimation in RFID Systems
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 ...
Lei Yang, Jinsong Han, Yong Qi, Cheng Wang, Zhuo L...
NN
2010
Springer
183views Neural Networks» more  NN 2010»
9 years 5 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
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...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
ICASSP
2010
IEEE
9 years 5 months ago
Identification of linear systems in canonical form through an EM framework
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...
Pavlos Papadopoulos, Vassilis Digalakis
PVLDB
2008
123views more  PVLDB 2008»
9 years 6 months ago
Dependable cardinality forecasts for XQuery
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...
Jens Teubner, Torsten Grust, Sebastian Maneth, She...
NECO
2007
129views more  NECO 2007»
9 years 6 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
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...
Shinichi Nakajima, Sumio Watanabe
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