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alireza KashaniPour

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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 53 3
  • 3.5
3.5 | 7 ratings
13 Mar 2007 Screenshot 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, detection, background subtra, kalman 171 40
  • 4.15385
4.2 | 40 ratings
11 Dec 2006 Screenshot 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 134 18
  • 4.30769
4.3 | 26 ratings
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17 Dec 2012 2D Target tracking using Kalman filter This Demo shows tracking target and prediction next position using kalman filter Author: alireza KashaniPour Crimi, Alessandro

17 Dec 2012 2D Target tracking using Kalman filter This Demo shows tracking target and prediction next position using kalman filter Author: alireza KashaniPour Crimi, Alessandro

Please ignore my previous comment, the prediction is corret, I miss the transpose x', good job.
Cheers
17 Dec 2012 2D Target tracking using Kalman filter This Demo shows tracking target and prediction next position using kalman filter Author: alireza KashaniPour Crimi, Alessandro

Hi
Please correct me if I miss something.
I think your code is wrong, though it is working.
The state prediction:
xp=A*x(i-1,:)' + Bu
will give as a result the same vector x with the g in the last element.
This matrix
A=[[1,0,0,0]',[0,1,0,0]',[dt,0,1,0]',[0,dt,0,1]'];
multiplied by
xp = [MC/2,MR/2,0,0]'.
It is a bit pointless, since the dt elements will always be cancel out by the last zeros. Then you do correctly the observation step and the algorithm is working, but the prediction practically doesn't exist.
14 Dec 2012 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 Bassem

Plz can anyone tell me how to run this project
thnx

12 Nov 2012 2D Target tracking using Kalman filter This Demo shows tracking target and prediction next position using kalman filter Author: alireza KashaniPour Alex

Good work! Could you send me a link or a document with the explanation of the algorithm?
I don´t know why you include some variables that not are included in Matlab examples. For example: Bu.
The matrix dimensions are also different...
Link to this code: http://codeviewer.org/view/code:2b99

bocatasinpan (at) hotmail.com
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2d target, annotation, application, background subtra, demo
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03 Sep 2008 Screenshot AdaBoost AdaBoost: The meta machine learning algorithm formulated by Yoav Freund and Robert Schapire Author: Cuneyt Mertayak adaboost, adaptive boosting, classification, classifier, probability, statistics 120 16
  • 3.28571
3.3 | 7 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 53 3
  • 3.5
3.5 | 7 ratings
13 Mar 2007 Screenshot 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, detection, background subtra, kalman 171 40
  • 4.15385
4.2 | 40 ratings
11 Dec 2006 Screenshot 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 134 18
  • 4.30769
4.3 | 26 ratings

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