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165
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JMLR
2012
13 years 6 months ago
Factorized Asymptotic Bayesian Inference for Mixture Modeling
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
Ryohei Fujimaki, Satoshi Morinaga
166
Voted
TOG
2012
237views Communications» more  TOG 2012»
13 years 6 months ago
An algebraic model for parameterized shape editing
We present an approach to high-level shape editing that adapts the structure of the shape while maintaining its global characteristics. Our main contribution is a new algebraic mo...
Martin Bokeloh, Michael Wand, Hans-Peter Seidel, V...
135
Voted
ACSD
2008
IEEE
114views Hardware» more  ACSD 2008»
15 years 10 months ago
Modeling and verifying asynchronous communication mechanisms using coloured Petri nets
Asynchronous data communication mechanisms (ACMs) have been extensively studied as data connectors between independently timed concurrent processes. In previous work, two automati...
Kyller Costa Gorgônio, Fei Xia
139
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Corrected tandem features for acoustic model training
This paper describes a simple method for significantly improving Tandem features used to train acoustic models for large-vocabulary speech recognition. The linear activations at ...
Arlo Faria, Nelson Morgan
152
Voted
DCC
2007
IEEE
15 years 10 months ago
Data Hiding based Compression Mechanism for 3D Models
: The paper proposes a lossy compression mechanism for 3D models (3D meshes) by improving existing compression mechanism such as progressive meshes and single refinement mesh compr...
Hui Li, Parag Agarwal, Balakrishnan Prabhakaran