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» Definition and modeling of process using object orientation
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172
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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
16 years 21 days ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
ESANN
2004
15 years 8 months ago
A biologically plausible neuromorphic system for object recognition and depth analysis
Abstract. We present a large-scale Neuromorphic model based on integrateand-fire (IF) neurons that analyses objects and their depth within a moving visual scene. A feature-based al...
Zhijun Yang, Alan F. Murray
ICIP
2009
IEEE
16 years 7 months ago
Object Detection Via Boosted Deformable Features
It is a common practice to model an object for detection tasks as a boosted ensemble of many models built on features of the object. In this context, features are defined as subre...
228
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CSREAESA
2010
15 years 4 months ago
An Approach for Efficient Real Time Moving Object Detection
Moving object detection is essential for real-time surveillance; however, it is challenging to support moving object detection in a timely fashion due to the compute-intensive natu...
Arnab Roy, Sanket Shinde, Kyoung-Don Kang
239
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ICASSP
2011
IEEE
14 years 10 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai