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» Edge Detection Based on Spiking Neural Network Model
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ICPR
2010
IEEE
13 years 7 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag
ISCAS
2011
IEEE
237views Hardware» more  ISCAS 2011»
12 years 11 months ago
A new network-based algorithm for multi-camera abnormal activity detection
In this paper, a new abnormal activity detection algorithm is proposed for multi-camera surveillance applications. The proposed algorithm models the entire scene covered by the mu...
Hongyu Gao, Weiyao Lin, Xiaokang Yang, Hongxiang L...
TNN
2008
181views more  TNN 2008»
13 years 7 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu
IJON
2007
120views more  IJON 2007»
13 years 7 months ago
Comparison of dynamical states of random networks with human EEG
Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...
ICC
2008
IEEE
130views Communications» more  ICC 2008»
14 years 2 months ago
Managing Network Congestion with a Kohonen-Based RED Queue
— The behaviour of the TCP AIMD algorithm is known to cause queue length oscillations when congestion occurs at a router output link. Indeed, due to these queueing variations, en...
Emmanuel Lochin, Bruno Talavera