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105
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AUTOMATICA
2007
93views more  AUTOMATICA 2007»
15 years 3 months ago
Development of omni-directional correlation functions for nonlinear model validation
In the present study a set of first order correlation functions are proposed to examine the quality of a wide class of identified nonlinear models. The first order correlation ...
Quan Min Zhu, Li Feng Zhang, Ashley Longden
107
Voted
ICPR
2002
IEEE
16 years 4 months ago
Linear and Non-Linear Model for Statistical Localization of Landmarks
This paper presents and compares 3 methods for the statistical localization of partially occulted landmarks. In many real applications, some information is visible in images and s...
Barbara Romaniuk, Michel Desvignes, Marinette Reve...
97
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Confidence scores for acoustic model adaptation
This paper focuses on confidence scores for use in acoustic model adaptation. Frame-based confidence estimates are used in linear transform (CMLLR and MLLR) and MAP adaptation. ...
Christian Gollan, Michiel Bacchiani
128
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Speech enhancement using a pitch predictive model
In this paper we present two new methods for speech enhancement based on the previously publised ne pitch model (FPM) for voiced speech. The rst method (FPM-NE) uses the FPM to pr...
Luis Buera, Jasha Droppo, Alex Acero
130
Voted
FGR
2006
IEEE
111views Biometrics» more  FGR 2006»
15 years 9 months ago
Registration of Expressions Data using a 3D Morphable Model
The registration of 3D scans of faces is a key step for many applications, in particular for building 3D Morphable Models. Although a number of algorithms are already available fo...
Curzio Basso, Pascal Paysan, Thomas Vetter