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NPL
2006
85views more  NPL 2006»
13 years 7 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
DAC
2010
ACM
13 years 5 months ago
MFTI: matrix-format tangential interpolation for modeling multi-port systems
Numerous algorithms to macromodel a linear time-invariant (LTI) system from its frequency-domain sampling data have been proposed in recent years [1, 2, 3, 4, 5, 6, 7, 8], among w...
Yuanzhe Wang, Chi-Un Lei, Grantham K. H. Pang, Nga...
ATMOS
2011
261views Optimization» more  ATMOS 2011»
12 years 7 months ago
On the Utilisation of Fuzzy Rule-Based Systems for Taxi Time Estimations at Airports
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively new technology into airport transportation research, with a special emphasis o...
Jun Chen, Stefan Ravizza, Jason A. D. Atkin, Paul ...
ICIP
2005
IEEE
14 years 9 months ago
Face hallucination through dual associative learning
In this paper, we propose a novel patch-based face hallucination framework, which employs a dual model to hallucinate different components associated with one facial image. Our mod...
Wei Liu, Dahua Lin, Xiaoou Tang
INFOVIS
2005
IEEE
14 years 1 months ago
Visual Correlation for Situational Awareness
We present a novel visual correlation paradigm for situational awareness (SA) and suggest its usage in a diverse set of applications that require a high level of SA. Our approach ...
Yarden Livnat, James Agutter, Shaun Moon, Stefano ...