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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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ICASSP
2011
IEEE
14 years 10 months ago
Automatic speech recognition using Hidden Conditional Neural Fields
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
Yasuhisa Fujii, Kazumasa Yamamoto, Seiichi Nakagaw...
ICASSP
2008
IEEE
16 years 1 months ago
Rhetorical-State Hidden Markov Models for extractive speech summarization
We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive su...
Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
DAGM
2004
Springer
16 years 2 days ago
3D Head Pose Estimation with Symmetry Based Illumination Model in Low Resolution Video
A head pose estimation system is described, which uses low resolution video sequences to determine the orientation and position of a head with respect to a internally calibrated ca...
Martin Gruendig, Olaf Hellwich
ERSHOV
1999
Springer
15 years 11 months ago
Twin - A Design Pattern for Modeling Multiple Inheritance
We introduce an object-oriented design pattern called Twin that allows us to model multiple inheritance in programming languages that do not support this feature (e.g. Java, Modula...
Hanspeter Mössenböck
CG
2002
Springer
15 years 6 months ago
Algorithmic shape modeling with subdivision surfaces
We present methods for synthesizing 3D shape features on subdivision surfaces using multiscale procedural techniques. Multiscale synthesis is a powerful approach for creating surfa...
Luiz Velho, Ken Perlin, Henning Biermann, Lexing Y...