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» Learning Behavior Models for Hybrid Timed Systems
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WSC
2000
15 years 5 months ago
Understanding the impact of equipment and process changes with a heterogeneous semiconductor manufacturing simulation environmen
Simulation models are useful to predict and understand the impact of changes to a manufacturing system. Typical factory simulation models include the parts being manufactured in t...
Jeffrey W. Herrmann, Brian F. Conaghan, Laurent He...
AAI
1999
125views more  AAI 1999»
15 years 4 months ago
Deictic Believability: Coordinated Gesture, Locomotion, and Speech in Lifelike Pedagogical Agents
Lifelike animated agents for knowledge-based learning environments can provide timely, customized advice to support students' problem solving. Because of their strong visual ...
James C. Lester, Jennifer L. Voerman, Stuart G. To...
CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 4 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
ECSA
2010
Springer
15 years 4 months ago
Learning from the Cell Life-Cycle: A Self-adaptive Paradigm
In the software domain, self-adaptive systems are able to modify their behavior at run-time to respond to changes in the environment they run, to changes of the users' require...
Antinisca Di Marco, Francesco Gallo, Paola Inverar...
CVPR
2004
IEEE
16 years 6 months ago
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
Anurag Mittal, Nikos Paragios