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BMVC
2001
15 years 10 months ago
Deformable Spatio-Temporal Shape Models: Extending ASM to 2D+Time
This paper extends 2D Active Shape Models to 2D+time by presenting a method for modelling and segmenting spatio-temporal shapes (ST-shapes). The modelling part consists of constru...
Ghassan Hamarneh, Tomas Gustavsson
ICONIP
2007
15 years 9 months ago
Analog CMOS Circuits Implementing Neural Segmentation Model Based on Symmetric STDP Learning
We proposed a neural segmentation model that is suitable for implementation in analog VLSIs using conventional CMOS technology. The model consists of neural oscillators mutually co...
Gessyca Maria Tovar, Eric Shun Fukuda, Tetsuya Asa...
WSC
1997
15 years 8 months ago
The Four Phase Method for Modelling Complex Systems
This paper investigates an attempt to combine different simulation tools in order to build a simulation environment that can be used to model complex system behaviour. The compone...
Hamad I. Odhabi, Ray J. Paul, Robert D. Macredie
198
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TCAD
2010
106views more  TCAD 2010»
15 years 5 months ago
Modeling the Overshooting Effect for CMOS Inverter Delay Analysis in Nanometer Technologies
—With the scaling of complementary metal–oxide– semiconductor (CMOS) technology into the nanometer regime, the overshooting effect due to the input-to-output coupling capacit...
Zhangcai Huang, Atsushi Kurokawa, Masanori Hashimo...
ICANN
2009
Springer
15 years 5 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...