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CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
14 years 11 months ago
Support vector machine classifiers for sequential decision problems
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
Eladio Rodriguez Diaz, David A. Castaon
IJCV
2008
188views more  IJCV 2008»
14 years 10 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
MA
2010
Springer
132views Communications» more  MA 2010»
14 years 8 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
ICASSP
2009
IEEE
15 years 4 months ago
Distributed parameter estimation with selective cooperation
This paper proposes selective update and cooperation strategies for parameter estimation in distributed adaptive sensor networks. A setmembership filtering approach is employed t...
Stefan Werner, Yih-Fang Huang, Marcello L. R. de C...
VLSID
2002
IEEE
132views VLSI» more  VLSID 2002»
15 years 10 months ago
VLSI Architecture for a Flexible Motion Estimation with Parameters
If motion estimation can choose the most suitable algorithm according to the changing characteristics of input image signals, we can get benefits, which improve quality and perfor...
Jinku Choi, Nozomu Togawa, Masao Yanagisawa, Tatsu...