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COLING
2008
13 years 10 months ago
Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
Och's (2003) minimum error rate training (MERT) procedure is the most commonly used method for training feature weights in statistical machine translation (SMT) models. The u...
Robert C. Moore, Chris Quirk
ESSMAC
2003
Springer
14 years 2 months ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
ICASSP
2011
IEEE
13 years 20 days ago
An utterance comparison model for speaker clustering using factor analysis
We propose a novel utterance comparison model based on probability theory and factor analysis that computes the likelihood of two speech utterances originating from the same speak...
Woojay Jeon, Changxue Ma, Dusan Macho
RT
2005
Springer
14 years 2 months ago
Estimation of 3D Faces and Illumination from Single Photographs Using A Bilinear Illumination Model
3D Face modeling is still one of the biggest challenges in computer graphics. In this paper we present a novel framework that acquires the 3D shape, texture, pose and illumination...
Jinho Lee, Hanspeter Pfister, Baback Moghaddam, Ra...
IJON
2007
166views more  IJON 2007»
13 years 8 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi