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» A generalized family of parameter estimation techniques
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CDC
2008
IEEE
134views Control Systems» more  CDC 2008»
14 years 4 months ago
Data-driven precompensator tuning for linear parameter varying systems
— Methods for direct data-driven tuning of the parameters of precompensators for LPV systems are developed. Since the commutativity property is not always satisfied for LPV syst...
Mark Edward John Butcher, Alireza Karimi, Roland L...
BMCBI
2007
113views more  BMCBI 2007»
13 years 9 months ago
Learning biophysically-motivated parameters for alpha helix prediction
Background: Our goal is to develop a state-of-the-art protein secondary structure predictor, with an intuitive and biophysically-motivated energy model. We treat structure predict...
Blaise Gassend, Charles W. O'Donnell, William Thie...
ICPR
2002
IEEE
14 years 2 months ago
Self-Calibration of a Camera from Video of a Walking Human
Analysis of human activity from a video camera is simplified by the knowledge of the camera’s intrinsic and extrinsic parameters. We describe a technique to estimate such param...
Fengjun Lv, Tao Zhao, Ramakant Nevatia
MMSEC
2006
ACM
213views Multimedia» more  MMSEC 2006»
14 years 3 months ago
Parameter optimization for biometric fingerprint recognition using genetic algorithms
In this paper, we suggest an optimization approach for fingerprint authentication using genetic algorithms. Our application was planned so that it can be used without great effort...
Tobias Scheidat, Andreas Engel, Claus Vielhauer
ICASSP
2011
IEEE
13 years 1 months ago
Dirichlet Mixture Models of neural net posteriors for HMM-based speech recognition
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
Balakrishnan Varadarajan, Garimella S. V. S. Sivar...