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ICIP
2003
IEEE
14 years 10 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis

Tutorial
3234views
14 years 4 months ago
Nguyen-Widrow and other Neural Network Weight/Threshold Initialization Methods
Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...
Jeff Heaton
JCP
2008
138views more  JCP 2008»
13 years 8 months ago
Radar Signal Detection In Non-Gaussian Noise Using RBF Neural Network
In this paper, we suggest a neural network signal detector using radial basis function (RBF) network. We employ this RBF Neural detector to detect the presence or absence of a know...
Dilip Gopichand Khairnar, S. N. Merchant, Uday B. ...
XPU
2010
Springer
13 years 7 months ago
Put It to the Test: Using Lightweight Experiments to Improve Team Processes
Experimentation is one way to gain insight into how processes perform for a team, but industry teams rarely do experiments, fearing that such educational excursions will incur extr...
Michael Keeling
IJCSS
2007
122views more  IJCSS 2007»
13 years 8 months ago
Artificial Neural Network Type Learning with Single Multiplicative Spiking Neuron
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...
Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem K...