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» Two-Dimensional Phase Unwrapping Using Neural Networks
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IJCNN
2008
IEEE
14 years 1 months ago
Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications
— In this work we show that a metaheuristic, the Variable Neighborhood Search (VNS), can be effectively used in order to improve the performance of the hardware–friendly versio...
Enrique Alba, Davide Anguita, Alessandro Ghio, San...
CA
2003
IEEE
14 years 22 days ago
Expressive Gesture Animation Based on Non Parametric Learning of Sensory-Motor Models
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
Sylvie Gibet, Pierre-Francois Marteau
ICASSP
2011
IEEE
12 years 11 months ago
The IBM 2009 GALE Arabic speech transcription system
We describe the Arabic broadcast transcription system elded by IBM in the GALE Phase 4 machine translation evaluation. Key advances over our Phase 3.5 system include improvements ...
Brian Kingsbury, Hagen Soltau, George Saon, Stephe...
NIPS
2007
13 years 8 months ago
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
We describe a neurobiologically plausible model to implement dynamic routing using the concept of neuronal communication through neuronal coherence. The model has a three-tier arc...
Devarajan Sridharan, Brian Percival, John V. Arthu...
ICNC
2005
Springer
14 years 29 days ago
The Prediction of the Financial Time Series Based on Correlation Dimension
In this paper we firstly analysis the chaotic characters of three sets of the financial time series (Hang Sheng Index (HIS), Shanghai Stock Index and US gold price) based on the ph...
Chen Feng, Guangrong Ji, Wencang Zhao, Rui Nian