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» Combining Simple Models to Approximate Complex Dynamics
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SIMVIS
2003
14 years 8 hour ago
An Experimental Study of the Behaviour of the Proxel-Based Simulation Algorithm
The paradigm of the proxel ("probability element") was recently introduced in order to provide a new algorithmic approach to analysing discrete-state stochastic models s...
Sanja Lazarova-Molnar, Graham Horton
TIP
2008
169views more  TIP 2008»
13 years 10 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
ICIP
2003
IEEE
15 years 7 days ago
Transductive inference for color-based particle filter tracking
Robust real-time tracking of non-rigid objects in a dynamic environment is a challenging task. Among various cues in tracking, color can provide an efficient visual cue for this t...
Jiang Li, Chin-Seng Chua
IANDC
2007
152views more  IANDC 2007»
13 years 10 months ago
The reactive simulatability (RSIM) framework for asynchronous systems
We define reactive simulatability for general asynchronous systems. Roughly, simulatability means that a real system implements an ideal system (specification) in a way that pre...
Michael Backes, Birgit Pfitzmann, Michael Waidner
MFCS
2004
Springer
14 years 4 months ago
Captive Cellular Automata
Abstract. We introduce a natural class of cellular automata characterised by a property of the local transition law without any assumption on the states set. We investigate some al...
Guillaume Theyssier