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» Learning and Classification of Complex Dynamics
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CN
2010
109views more  CN 2010»
13 years 7 months ago
A taxonomy of biologically inspired research in computer networking
The natural world is enormous, dynamic, incredibly diverse, and highly complex. Despite the inherent challenges of surviving in such a world, biological organisms evolve, self-org...
Michael Meisel, Vasileios Pappas, Lixia Zhang
IJON
2002
154views more  IJON 2002»
13 years 7 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
COGSR
2010
102views more  COGSR 2010»
13 years 2 months ago
Emergence of self-organized symbol-based communication in artificial creatures
In this paper, we describe a digital scenario where we simulated the emergence of self-organized symbol-based communication among artificial creatures inhabiting a virtual world of...
Angelo Loula, Ricardo R. Gudwin, Charbel Niñ...
IJCV
2010
574views more  IJCV 2010»
13 years 6 months ago
Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding
We propose a novel approach to understanding activities from their partial observations monitored through multiple non-overlapping cameras separated by unknown time gaps. In our...
Chen Change Loy, Tao Xiang, Shaogang Gong
CVPR
2012
IEEE
11 years 10 months ago
Bridging the past, present and future: Modeling scene activities from event relationships and global rules
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...