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» Missing Data Estimation Using Polynomial Kernels
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ICASSP
2008
IEEE
15 years 6 months ago
Robust speaker identification using combined feature selection and missing data recognition
Missing data techniques have been recently applied to speaker recognition to increase performance in noisy environments. The drawback of these techniques is the vulnerability of t...
Daniel Pullella, Marco Kühne, Roberto Togneri
89
Voted
CSDA
2007
110views more  CSDA 2007»
15 years 7 days ago
Two-way imputation: A Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation
Previous research has shown that method two-way with error for multiple imputation in test and questionnaire data produces small bias in statistical analyses. This method is based...
Joost R. Van Ginkel, L. Andries Van der Ark, Klaas...
ACCV
2009
Springer
15 years 7 months ago
Robust Focal Length Estimation by Voting in Multi-view Scene Reconstruction
We propose a new robust focal length estimation method in multi-view structure from motion from unordered data sets, e.g. downloaded from the Flickr database, where jpeg-exif heade...
Martin Bujnak, Zuzana Kukelova, Tomás Pajdl...
NIPS
2008
15 years 1 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
INTERSPEECH
2010
14 years 7 months ago
Mask estimation in non-stationary noise environments for missing feature based robust speech recognition
In missing feature based automatic speech recognition (ASR), the role of the spectro-temporal mask in providing an accurate description of the relationship between target speech a...
Shirin Badiezadegan, Richard C. Rose