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» Temporal Feature Selection for Noisy Speech Recognition
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AUSAI
2008
Springer
14 years 12 months ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
FGR
2011
IEEE
267views Biometrics» more  FGR 2011»
14 years 1 months ago
A dynamic approach to the recognition of 3D facial expressions and their temporal models
— In this paper we propose a method that exploits 3D motion-based features between frames of 3D facial geometry sequences for dynamic facial expression recognition. An expressive...
Georgia Sandbach, Stefanos Zafeiriou, Maja Pantic,...
VIS
2004
IEEE
214views Visualization» more  VIS 2004»
15 years 11 months ago
Surface Reconstruction of Noisy and Defective Data Sets
We present a novel surface reconstruction algorithm that can recover high-quality surfaces from noisy and defective data sets without any normal or orientation information. A set ...
Hui Xie, Kevin T. McDonnell, Hong Qin
IWANN
2005
Springer
15 years 3 months ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...
ICASSP
2008
IEEE
15 years 4 months ago
Language recognition with discriminative keyword selection
One commonly used approach for language recognition is to convert the input speech into a sequence of tokens such as words or phones and then to use these token sequences to deter...
Fred S. Richardson, William M. Campbell