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» State, Event, Time and Diagram in System Modeling
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ISBI
2008
IEEE
16 years 7 months ago
Segmentation of the evolving left ventricle by learning the dynamics
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Walter Sun, Müjdat Çetin, Raymond Chan...
NIPS
2008
15 years 7 months ago
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
C. C. Alan Fung, K. Y. Michael Wong, Si Wu
SASO
2008
IEEE
16 years 19 days ago
Integer Gradient for Cellular Automata: Principle and Examples
—When programming a spatial computing medium such as a cellular automaton, the hop count distance to some set of sources (particles) is an often used information. In particular, ...
Luidnel Maignan, Frédéric Gruau
FORTE
2004
15 years 7 months ago
Formal Composition of Distributed Scenarios
Eliciting, modeling, and analyzing the requirements are the main challenges to face up when you want to produce a formal specification for distributed systems. The distribution and...
Aziz Salah, Rabeb Mizouni, Rachida Dssouli, Benoit...
JNS
2008
79views more  JNS 2008»
15 years 6 months ago
Singularly Perturbed Monotone Systems and an Application to Double Phosphorylation Cycles
The theory of monotone dynamical systems has been found very useful in the modeling of some gene, protein, and signaling networks. In monotone systems, every net feedback loop is p...
Liming Wang, Eduardo D. Sontag