| Files Posted by alireza |
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| 05 Nov 2007 |
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Function Approximation Using Neural Network Without using Toolbox This code implements the basic backpropagation of error learning algorithm
Author: alireza KashaniPour |
error learning algori..., function approximatio..., neural network, fuzzy logic, neural networks, no t |
54 |
3 |
4.0 |
6 ratings
|
| 13 Mar 2007 |
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2D Target tracking using Kalman filter This Demo shows tracking target and prediction next position using kalman filter
Author: alireza KashaniPour |
2d target, target tracking, application, background subtra, detection, demo |
172 |
35 |
4.2 |
37 ratings
|
| 11 Dec 2006 |
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Character Recognition Example (IV):Training a Simple NN for classification This demo shows some examples for image pre-processing before the recognition stage.
Author: alireza KashaniPour |
annotation, ocr simple farsi arab..., display, gui |
111 |
17 |
4.3 |
25 ratings
|
| Files Tagged by alireza |
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| 03 Sep 2008 |
|
AdaBoost AdaBoost: The meta machine learning algorithm formulated by Yoav Freund and Robert Schapire
Author: Cuneyt Mertayak |
adaboost, adaptive boosting, classification, probability, classifier, statistics |
164 |
13 |
3.7 |
6 ratings
|
| 05 Nov 2007 |
|
Function Approximation Using Neural Network Without using Toolbox This code implements the basic backpropagation of error learning algorithm
Author: alireza KashaniPour |
error learning algori..., function approximatio..., neural network, fuzzy logic, neural networks, no t |
54 |
3 |
4.0 |
6 ratings
|
| 13 Mar 2007 |
|
2D Target tracking using Kalman filter This Demo shows tracking target and prediction next position using kalman filter
Author: alireza KashaniPour |
2d target, target tracking, application, background subtra, detection, demo |
172 |
35 |
4.2 |
37 ratings
|
| 11 Dec 2006 |
|
Character Recognition Example (IV):Training a Simple NN for classification This demo shows some examples for image pre-processing before the recognition stage.
Author: alireza KashaniPour |
annotation, ocr simple farsi arab..., display, gui |
111 |
17 |
4.3 |
25 ratings
|
|