Rank: 79 based on 953 downloads (last 30 days) and 10 files submitted
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Masayuki Tanaka

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http://like.silk.to/matlab/


 

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Files Posted by Masayuki Tanaka View all
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(last 30 days)
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10 Sep 2014 Screenshot Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka machine learning 388 56
  • 4.78947
4.8 | 23 ratings
06 Aug 2014 Screenshot Face Parts Detection It detects faces with left eye, right eye, mouth, and norse. Author: Masayuki Tanaka image processing, face, computer vision 301 76
  • 4.5
4.5 | 29 ratings
18 Jul 2014 Screenshot Guided Upsampling and Residual Interpolation This tool upsamples the data with the high-resolution guidance image. Author: Masayuki Tanaka upsampling, image processing, filter 35 0
07 May 2014 Screenshot Noise Level Estimation from a Single Image It can precisely estimate noise level from a single image. Author: Masayuki Tanaka image processing, pick of the week, potw 98 12
  • 5.0
5.0 | 3 ratings
25 Nov 2013 Screenshot GUI Image Mask Sample It is a sample code to draw and erase mask on an image by GUI. It gives you hints to develop the GUI Author: Masayuki Tanaka gui, image processing, image 10 0
  • 2.0
2.0 | 1 rating
Comments and Ratings by Masayuki Tanaka View all
Updated File Comments Rating
26 Nov 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka

Hi Salem,

For the object detection, I think that the convolution network is better. But, I hope this code also works for the object detection.

Thanks.

17 Nov 2014 Face Parts Detection It detects faces with left eye, right eye, mouth, and norse. Author: Masayuki Tanaka

Hi Meenakshi,

My code does not provide the region of the forehead. But, you may be able to estimate rough the region of the forehead with eyes and face regions’ information.

Thanks.

17 Nov 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka

Hi Nirmal,

I won’t consult on each specific problem.
If you have any bug, please report that. I will fix it if I have time…

Thank you!

14 Nov 2014 Face Parts Detection It detects faces with left eye, right eye, mouth, and norse. Author: Masayuki Tanaka

Hi Meenakshi,

I didn’t publish any technical paper. If you want to cite this work, please cite by the following url:
http://like.silk.to/matlab/detectFaceParts.html

I also share the slide on slide share.
http://www.slideshare.net/masayukitanaka1975/face-partsdetection

Thanks!

14 Nov 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka

Hi Nirmal,

If you have any bug, please report that. I will fix it if I have time…

Thank you!

Comments and Ratings on Masayuki Tanaka's Files View all
Updated File Comment by Comments Rating
26 Nov 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka Salem

Hi Masayuki,
Thanks for replying, I have my own data set. Therefore, I applied this code to it and the result was an excellent, much better than Conv. Neural Networks. I want to go through the implementation again because the result is something incredible and I want to make sure I have implemented in the correct way. Thanks again for sharing the code.

26 Nov 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka Masayuki Tanaka

Hi Salem,

For the object detection, I think that the convolution network is better. But, I hope this code also works for the object detection.

Thanks.

24 Nov 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka Salem

24 Nov 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka Salem

Hi Masayuki,
Thanks for sharing this work.
Is it possible to use this code for object detection?
Regards,

17 Nov 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka Naeem Ul Islam

thank you so much i fixed my problem

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