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» Edge Detection Based on Spiking Neural Network Model
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WSC
2007
13 years 11 months ago
Stability analysis of the supply chain by using neural networks and genetic algorithms
Effectively managing a supply chain requires visibility to detect unexpected variations in the dynamics of the supply chain environment at an early stage. This paper proposes a me...
Alfonso Sarmiento, Luis Rabelo, Ramamoorthy Lakkoj...
ACISICIS
2009
IEEE
14 years 14 days ago
A Novel Approach Based on PCNNs Template for Fingerprint Image Thinning
A PCNNs-based square-and-triangle-template method for binary fingerprint image thinning is proposed. The algorithm is iterative, in which a combined sequential and parallel proces...
Dacheng Xu, Bailiang Li, Anton Nijholt
RAS
2000
116views more  RAS 2000»
13 years 9 months ago
Collision avoidance using a model of the locust LGMD neuron
The lobula giant movement detector (LGMD) system in the locust responds selectively to objects approaching the animal on a collision course. In earlier work we have presented a ne...
Mark Blanchard, F. Claire Rind, Paul F. M. J. Vers...
ICANN
2009
Springer
14 years 1 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
IAT
2008
IEEE
14 years 3 months ago
Link-Based Anomaly Detection in Communication Networks
Communication networks, such as networks formed by phone calls and email communications, can be modeled as dynamic graphs with vertices representing agents and edges representing ...
Xiaomeng Wan, Evangelos E. Milios, Nauzer Kalyaniw...